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Iryna Gurevych
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- affiliation: Darmstadt University of Technology, Ubiquitous Knowledge Processing Lab, Germany
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2020 – today
- 2024
- [j45]Ivan Habernal
, Daniel Faber, Nicola Recchia, Sebastian Bretthauer, Iryna Gurevych, Indra Spiecker genannt Döhmann, Christoph Burchard:
Mining legal arguments in court decisions. Artif. Intell. Law 32(3): 1-38 (2024) - [j44]Max Glockner, Ieva Staliunaite, James Thorne, Gisela Vallejo, Andreas Vlachos
AmbiFC: Fact-Checking Ambiguous Claims with Evidence. Trans. Assoc. Comput. Linguistics 12: 1-18 (2024) - [c384]Haishuo Fang, Xiaodan Zhu, Iryna Gurevych:
DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs. ACL (Findings) 2024: 3406-3432 - [c383]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection. ACL (1) 2024: 3964-3992 - [c382]Kexin Wang, Nils Reimers, Iryna Gurevych:
DAPR: A Benchmark on Document-Aware Passage Retrieval. ACL (1) 2024: 4313-4330 - [c381]Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych:
Missci: Reconstructing Fallacies in Misrepresented Science. ACL (1) 2024: 4372-4405 - [c380]Qian Ruan, Ilia Kuznetsov, Iryna Gurevych:
Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision. ACL (1) 2024: 4635-4655 - [c379]Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych:
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models. ACL (1) 2024: 4750-4767 - [c378]Furkan Sahinuç, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych:
Systematic Task Exploration with LLMs: A Study in Citation Text Generation. ACL (1) 2024: 4832-4855 - [c377]Sheng Lu, Irina Bigoulaeva, Rachneet Sachdeva, Harish Tayyar Madabushi, Iryna Gurevych:
Are Emergent Abilities in Large Language Models just In-Context Learning? ACL (1) 2024: 5098-5139 - [c376]Justus-Jonas Erker, Florian Mai, Nils Reimers, Gerasimos Spanakis, Iryna Gurevych:
Triple-Encoders: Representations That Fire Together, Wire Together. ACL (1) 2024: 5317-5332 - [c375]Fengyu Cai, Xinran Zhao, Hongming Zhang, Iryna Gurevych, Heinz Koeppl:
GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics. ACL (Findings) 2024: 5571-5597 - [c374]Andreas Waldis, Yufang Hou, Iryna Gurevych:
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study. ACL (1) 2024: 14878-14898 - [c373]Indraneil Paul, Goran Glavas, Iryna Gurevych:
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators. ACL (1) 2024: 15023-15041 - [c372]Luke Bates, Iryna Gurevych:
Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification. EACL (1) 2024: 276-297 - [c371]Fajri Koto, Tilman Beck, Zeerak Talat, Iryna Gurevych, Timothy Baldwin:
Zero-shot Sentiment Analysis in Low-Resource Languages Using a Multilingual Sentiment Lexicon. EACL (1) 2024: 298-320 - [c370]Jan Buchmann, Max Eichler, Jan-Micha Bodensohn, Ilia Kuznetsov, Iryna Gurevych:
Document Structure in Long Document Transformers. EACL (1) 2024: 1056-1073 - [c369]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Toru Sasaki, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. EACL (1) 2024: 1369-1407 - [c368]Tobias Mayer, Neha Warikoo, Amir Eliassaf, Dana Atzil-Slonim, Iryna Gurevych:
Predicting Client Emotions and Therapist Interventions in Psychotherapy Dialogues. EACL (1) 2024: 1463-1477 - [c367]Rachneet Sachdeva, Martin Tutek, Iryna Gurevych:
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration. EACL (1) 2024: 1876-1898 - [c366]Andreas Waldis, Yufang Hou, Iryna Gurevych:
Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization. EACL (Findings) 2024: 2197-2214 - [c365]Tilman Beck, Hendrik Schuff, Anne Lauscher, Iryna Gurevych:
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting. EACL (1) 2024: 2589-2615 - [c364]Dominic Petrak, Thy Thy Tran, Iryna Gurevych:
Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues. EMNLP (Findings) 2024: 4573-4603 - [c363]Leon Engländer, Hannah Sterz, Clifton Poth, Jonas Pfeiffer, Ilia Kuznetsov, Iryna Gurevych:
M2QA: Multi-domain Multilingual Question Answering. EMNLP (Findings) 2024: 6283-6305 - [c362]Jonathan Tonglet, Marie-Francine Moens, Iryna Gurevych:
"Image, Tell me your story!" Predicting the original meta-context of visual misinformation. EMNLP 2024: 7845-7864 - [c361]Furkan Sahinuç, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych:
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards. EMNLP 2024: 7963-7977 - [c360]Jan Buchmann, Xiao Liu, Iryna Gurevych:
Attribute or Abstain: Large Language Models as Long Document Assistants. EMNLP 2024: 8113-8140 - [c359]Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. EMNLP 2024: 8386-8411 - [c358]Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl:
MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity. EMNLP 2024: 10369-10391 - [c357]Andreas Waldis, Joel Birrer, Anne Lauscher, Iryna Gurevych:
The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification. EMNLP 2024: 10604-10624 - [c356]Benjamin Schiller, Johannes Daxenberger, Andreas Waldis, Iryna Gurevych:
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets. EMNLP 2024: 10870-10887 - [c355]Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych:
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs. EMNLP 2024: 11234-11258 - [c354]Yuxia Wang, Revanth Gangi Reddy, Zain Muhammad Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama Mohammed Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov:
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers. EMNLP (Findings) 2024: 14199-14230 - [c353]Qian Ruan, Ilia Kuznetsov, Iryna Gurevych:
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions. EMNLP 2024: 15049-15067 - [c352]Nico Daheim, Thomas Möllenhoff, Edoardo M. Ponti, Iryna Gurevych, Mohammad Emtiyaz Khan:
Model Merging by Uncertainty-Based Gradient Matching. ICLR 2024 - [c351]Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff:
Variational Learning is Effective for Large Deep Networks. ICML 2024 - [c350]Chen Liu, Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych:
FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing. NAACL-HLT 2024: 1998-2015 - [c349]Chen Liu, Fajri Koto, Timothy Baldwin, Iryna Gurevych:
Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings. NAACL-HLT 2024: 2016-2039 - [c348]Sheng Lu, Hendrik Schuff, Iryna Gurevych:
How are Prompts Different in Terms of Sensitivity? NAACL-HLT 2024: 5833-5856 - [c347]Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych:
A Survey of Confidence Estimation and Calibration in Large Language Models. NAACL-HLT 2024: 6577-6595 - [c346]Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti:
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. NAACL-HLT 2024: 7096-7112 - [d3]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Chenxi Whitehouse, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Black-Box Machine-Generated Text Detection. Zenodo, 2024 - [i234]Dominic Petrak, Thy Thy Tran, Iryna Gurevych:
Learning from Emotions, Demographic Information and Implicit User Feedback in Task-Oriented Document-Grounded Dialogues. CoRR abs/2401.09248 (2024) - [i233]Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych:
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs. CoRR abs/2401.10065 (2024) - [i232]Jan Buchmann, Max Eichler, Jan-Micha Bodensohn, Ilia Kuznetsov, Iryna Gurevych:
Document Structure in Long Document Transformers. CoRR abs/2401.17658 (2024) - [i231]Andreas Waldis, Yufang Hou, Iryna Gurevych:
Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization. CoRR abs/2402.01375 (2024) - [i230]Fajri Koto, Tilman Beck, Zeerak Talat, Iryna Gurevych, Timothy Baldwin:
Zero-shot Sentiment Analysis in Low-Resource Languages Using a Multilingual Sentiment Lexicon. CoRR abs/2402.02113 (2024) - [i229]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohanned Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection. CoRR abs/2402.11175 (2024) - [i228]Justus-Jonas Erker, Florian Mai, Nils Reimers, Gerasimos Spanakis, Iryna Gurevych:
Triple-Encoders: Representations That Fire Together, Wire Together. CoRR abs/2402.12332 (2024) - [i227]Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff:
Variational Learning is Effective for Large Deep Networks. CoRR abs/2402.17641 (2024) - [i226]Anmol Goel, Nico Daheim, Iryna Gurevych:
Socratic Reasoning Improves Positive Text Rewriting. CoRR abs/2403.03029 (2024) - [i225]Jiahui Geng, Yova Kementchedjhieva, Preslav Nakov, Iryna Gurevych:
Multimodal Large Language Models to Support Real-World Fact-Checking. CoRR abs/2403.03627 (2024) - [i224]Indraneil Paul, Jun Luo, Goran Glavas, Iryna Gurevych:
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators. CoRR abs/2403.03894 (2024) - [i223]Chen Cecilia Liu, Iryna Gurevych:
Early Period of Training Impacts Out-of-Distribution Generalization. CoRR abs/2403.15210 (2024) - [i222]Ji-Ung Lee, Marc E. Pfetsch, Iryna Gurevych:
Constrained C-Test Generation via Mixed-Integer Programming. CoRR abs/2404.08821 (2024) - [i221]Ahmed Elshabrawy, Yongxin Huang, Iryna Gurevych, Alham Fikri Aji:
Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning. CoRR abs/2404.12897 (2024) - [i220]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Chenxi Whitehouse, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection. CoRR abs/2404.14183 (2024) - [i219]Andreas Waldis, Yotam Perlitz, Leshem Choshen, Yufang Hou, Iryna Gurevych:
Holmes: Benchmark the Linguistic Competence of Language Models. CoRR abs/2404.18923 (2024) - [i218]Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych:
What Can Natural Language Processing Do for Peer Review? CoRR abs/2405.06563 (2024) - [i217]Qian Ruan, Ilia Kuznetsov, Iryna Gurevych:
Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision. CoRR abs/2406.00197 (2024) - [i216]Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych:
Missci: Reconstructing Fallacies in Misrepresented Science. CoRR abs/2406.03181 (2024) - [i215]Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen:
Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art. CoRR abs/2406.03930 (2024) - [i214]Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych:
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models. CoRR abs/2406.04566 (2024) - [i213]Haishuo Fang, Xiaodan Zhu, Iryna Gurevych:
DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs. CoRR abs/2406.07080 (2024) - [i212]Leon Engländer, Hannah Sterz, Clifton Poth, Jonas Pfeiffer, Ilia Kuznetsov, Iryna Gurevych:
M2QA: Multi-domain Multilingual Question Answering. CoRR abs/2407.01091 (2024) - [i211]Haritz Puerto, Tilek Chubakov, Xiaodan Zhu, Harish Tayyar Madabushi, Iryna Gurevych:
Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models. CoRR abs/2407.03181 (2024) - [i210]Hovhannes Tamoyan, Hendrik Schuff, Iryna Gurevych:
LLM Roleplay: Simulating Human-Chatbot Interaction. CoRR abs/2407.03974 (2024) - [i209]Furkan Sahinuç, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych:
Systematic Task Exploration with LLMs: A Study in Citation Text Generation. CoRR abs/2407.04046 (2024) - [i208]Jan Buchmann, Xiao Liu, Iryna Gurevych:
Attribute or Abstain: Large Language Models as Long Document Assistants. CoRR abs/2407.07799 (2024) - [i207]Haoyu He, Markus Flicke, Jan Buchmann, Iryna Gurevych, Andreas Geiger:
HDT: Hierarchical Document Transformer. CoRR abs/2407.08330 (2024) - [i206]Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. CoRR abs/2407.09136 (2024) - [i205]Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl:
MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity. CoRR abs/2407.10691 (2024) - [i204]Tianyu Yang, Xiaodan Zhu, Iryna Gurevych:
Robust Utility-Preserving Text Anonymization Based on Large Language Models. CoRR abs/2407.11770 (2024) - [i203]Haishuo Fang, Xiaodan Zhu, Iryna Gurevych:
InferAct: Inferring Safe Actions for LLM-Based Agents Through Preemptive Evaluation and Human Feedback. CoRR abs/2407.11843 (2024) - [i202]Rachneet Sachdeva, Yixiao Song, Mohit Iyyer, Iryna Gurevych:
Fine-grained Hallucination Detection and Mitigation in Long-form Question Answering. CoRR abs/2407.11930 (2024) - [i201]Fengyu Cai, Xinran Zhao, Hongming Zhang, Iryna Gurevych, Heinz Koeppl:
GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics. CoRR abs/2407.12512 (2024) - [i200]Yongxin Huang, Kexin Wang, Goran Glavas, Iryna Gurevych:
Modular Sentence Encoders: Separating Language Specialization from Cross-Lingual Alignment. CoRR abs/2407.14878 (2024) - [i199]Neele Falk, Andreas Waldis, Iryna Gurevych:
Overview of PerpectiveArg2024: The First Shared Task on Perspective Argument Retrieval. CoRR abs/2407.19670 (2024) - [i198]Yufang Hou, Thy Thy Tran, Doan Nam Long Vu, Yiwen Cao, Kai Li, Lukas Rohde, Iryna Gurevych:
A Course Shared Task on Evaluating LLM Output for Clinical Questions. CoRR abs/2408.00122 (2024) - [i197]Mervat Abassy, Kareem Elozeiri, Alexander Aziz, Minh Ngoc Ta, Raj Vardhan Tomar, Bimarsha Adhikari, Saad El Dine Ahmed, Yuxia Wang, Osama Mohammed Afzal, Zhuohan Xie, Jonibek Mansurov, Ekaterina Artemova, Vladislav Mikhailov, Rui Xing, Jiahui Geng, Hasan Iqbal, Zain Muhammad Mujahid, Tarek Mahmoud, Akim Tsvigun, Alham Fikri Aji, Artem Shelmanov, Nizar Habash, Iryna Gurevych, Preslav Nakov:
LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection. CoRR abs/2408.04284 (2024) - [i196]Subhabrata Dutta, Timo Kaufmann, Goran Glavas, Ivan Habernal, Kristian Kersting, Frauke Kreuter, Mira Mezini, Iryna Gurevych, Eyke Hüllermeier, Hinrich Schütze:
Problem Solving Through Human-AI Preference-Based Cooperation. CoRR abs/2408.07461 (2024) - [i195]Jonathan Tonglet, Marie-Francine Moens, Iryna Gurevych:
"Image, Tell me your story!" Predicting the original meta-context of visual misinformation. CoRR abs/2408.09939 (2024) - [i194]Hasan Iqbal, Yuxia Wang, Minghan Wang, Georgi Georgiev, Jiahui Geng, Iryna Gurevych, Preslav Nakov:
OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs. CoRR abs/2408.11832 (2024) - [i193]Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych:
Grounding Fallacies Misrepresenting Scientific Publications in Evidence. CoRR abs/2408.12812 (2024) - [i192]Haau-Sing Li, Patrick Fernandes, Iryna Gurevych, André F. T. Martins:
DOCE: Finding the Sweet Spot for Execution-Based Code Generation. CoRR abs/2408.13745 (2024) - [i191]Nils Dycke, Matej Zecevic, Ilia Kuznetsov, Beatrix Suess, Kristian Kersting, Iryna Gurevych:
Diagnostic Reasoning in Natural Language: Computational Model and Application. CoRR abs/2409.05367 (2024) - [i190]Tuba Gokhan, Kexin Wang, Iryna Gurevych, Ted Briscoe:
RegNLP in Action: Facilitating Compliance Through Automated Information Retrieval and Answer Generation. CoRR abs/2409.05677 (2024) - [i189]Furkan Sahinuç, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych:
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards. CoRR abs/2409.12656 (2024) - [i188]Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych:
The Nature of NLP: Analyzing Contributions in NLP Papers. CoRR abs/2409.19505 (2024) - [i187]Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych:
Transforming Scholarly Landscapes: Influence of Large Language Models on Academic Fields beyond Computer Science. CoRR abs/2409.19508 (2024) - [i186]Qian Ruan, Ilia Kuznetsov, Iryna Gurevych:
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions. CoRR abs/2410.02028 (2024) - [i185]Zhuohan Xie, Rui Xing, Yuxia Wang, Jiahui Geng, Hasan Iqbal, Dhruv Sahnan, Iryna Gurevych, Preslav Nakov:
FIRE: Fact-checking with Iterative Retrieval and Verification. CoRR abs/2411.00784 (2024) - [i184]Iryna Gurevych, Anna Rogers, Nihar B. Shah, Jingyan Wang:
Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052). Dagstuhl Reports 14(1): 130-161 (2024) - 2023
- [j43]Jan-Christoph Klie, Bonnie Webber, Iryna Gurevych:
Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future. Comput. Linguistics 49(1): 157-198 (2023) - [j42]Georgia Chalvatzaki, Ali Younes, Daljeet Nandha, An T. Le, Leonardo F. R. Ribeiro, Iryna Gurevych:
Learning to reason over scene graphs: a case study of finetuning GPT-2 into a robot language model for grounded task planning. Frontiers Robotics AI 10 (2023) - [j41]Irina Bigoulaeva
Label modification and bootstrapping for zero-shot cross-lingual hate speech detection. Lang. Resour. Evaluation 57(4): 1515-1546 (2023) - [j40]Marcos V. Treviso, Ji-Ung Lee
Efficient Methods for Natural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics 11: 826-860 (2023) - [c345]Dennis Zyska, Nils Dycke, Jan Buchmann, Ilia Kuznetsov, Iryna Gurevych:
CARE: Collaborative AI-Assisted Reading Environment. ACL (demo) 2023: 291-303 - [c344]Haritz Puerto, Tim Baumgärtner, Rachneet Sachdeva, Haishuo Fang, Hao Zhang, Sewin Tariverdian, Kexin Wang, Iryna Gurevych:
UKP-SQuARE v3: A Platform for Multi-Agent QA Research. ACL (demo) 2023: 569-580 - [c343]Nils Dycke, Ilia Kuznetsov, Iryna Gurevych:
NLPeer: A Unified Resource for the Computational Study of Peer Review. ACL (1) 2023: 5049-5073 - [c342]Federico Ruggeri, Mohsen Mesgar, Iryna Gurevych:
A Dataset of Argumentative Dialogues on Scientific Papers. ACL (1) 2023: 7684-7699 - [c341]Ilia Kuznetsov, Iryna Gurevych:
An Inclusive Notion of Text. ACL (1) 2023: 11311-11327 - [c340]Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych:
Python Code Generation by Asking Clarification Questions. ACL (1) 2023: 14287-14306 - [c339]Nils Dycke, Ilia Kuznetsov, Iryna Gurevych:
Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer Reviews. ArgMining@EMNLP 2023: 187-196 - [c338]Haishuo Fang, Haritz Puerto, Iryna Gurevych:
UKP-SQuARE: An Interactive Tool for Teaching Question Answering. BEA@ACL 2023: 195-204 - [c337]Mohsen Mesgar, Thy Thy Tran
The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification. EACL 2023: 1838-1849 - [c336]Haishuo Fang, Ji-Ung Lee
Transformers with Learnable Activation Functions. EACL (Findings) 2023: 2337-2353 - [c335]Jakub Macina
Opportunities and Challenges in Neural Dialog Tutoring. EACL 2023: 2349-2364 - [c334]Chen Liu, Jonas Pfeiffer, Anna Korhonen, Ivan Vulic, Iryna Gurevych:
Delving Deeper into Cross-lingual Visual Question Answering. EACL (Findings) 2023: 2408-2423 - [c333]Haritz Puerto, Gözde Gül Sahin
MetaQA: Combining Expert Agents for Multi-Skill Question Answering. EACL 2023: 3548-3562 - [c332]Jan-Christoph Klie, Ji-Ung Lee
Lessons Learned from a Citizen Science Project for Natural Language Processing. EACL 2023: 3576-3590 - [c331]Clifton Poth, Hannah Sterz, Indraneil Paul, Sukannya Purkayastha, Leon Engländer, Timo Imhof, Ivan Vulic, Sebastian Ruder, Iryna Gurevych, Jonas Pfeiffer:
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning. EMNLP (Demos) 2023: 149-160 - [c330]Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych:
A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why? EMNLP 2023: 2312-2326 - [c329]Yongxin Huang, Kexin Wang, Sourav Dutta, Raj Nath Patel, Goran Glavas, Iryna Gurevych:
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification. EMNLP 2023: 3420-3434 - [c328]Tianyu Yang, Thy Thy Tran, Iryna Gurevych:
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation. EMNLP (Findings) 2023: 4718-4735 - [c327]Jakub Macina
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. EMNLP (Findings) 2023: 5602-5621 - [c326]Martin Funkquist, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych:
CiteBench: A Benchmark for Scientific Citation Text Generation. EMNLP 2023: 7337-7353 - [c325]Sukannya Purkayastha, Sebastian Ruder, Jonas Pfeiffer, Iryna Gurevych, Ivan Vulic:
Romanization-based Large-scale Adaptation of Multilingual Language Models. EMNLP (Findings) 2023: 7996-8005 - [c324]Sukannya Purkayastha, Anne Lauscher, Iryna Gurevych:
Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals. EMNLP 2023: 14479-14495 - [c323]Sheng Lu, Shan Chen, Yingya Li, Danielle S. Bitterman, Guergana Savova, Iryna Gurevych:
Measuring Pointwise \mathcalV-Usable Information In-Context-ly. EMNLP (Findings) 2023: 15739-15756 - [c322]Anxo Pérez
Semantic Similarity Models for Depression Severity Estimation. EMNLP 2023: 16104-16118 - [c321]Dominic Petrak, Nafise Sadat Moosavi, Ye Tian, Nikolai Rozanov
Learning From Free-Text Human Feedback - Collect New Datasets Or Extend Existing Ones? EMNLP 2023: 16259-16279 - [c320]Gregor Geigle, Chen Liu, Jonas Pfeiffer, Iryna Gurevych:
One does not fit all! On the Complementarity of Vision Encoders for Vision and Language Tasks. RepL4NLP@ACL 2023: 97-117 - [c319]Nandan Thakur
SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval. SIGIR 2023: 2964-2974 - [c318]Dominic Petrak, Nafise Sadat Moosavi, Iryna Gurevych:
Arithmetic-Based Pretraining Improving Numeracy of Pretrained Language Models. *SEM@ACL 2023: 477-493 - [c317]Tilman Beck, Andreas Waldis, Iryna Gurevych:
Robust Integration of Contextual Information for Cross-Target Stance Detection. *SEM@ACL 2023: 494-511 - [e12]Nafise Sadat Moosavi, Iryna Gurevych, Yufang Hou, Gyuwan Kim, Young Jin Kim, Tal Schuster, Ameeta Agrawal:
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, SustaiNLP 2023, Toronto, Canada (Hybrid), July 13, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-79-1 [contents] - [i183]Chen Cecilia Liu, Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych:
Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing. CoRR abs/2301.05487 (2023) - [i182]Jakub Macina, Nico Daheim, Lingzhi Wang
Opportunities and Challenges in Neural Dialog Tutoring. CoRR abs/2301.09919 (2023) - [i181]Luke Bates, Iryna Gurevych:
Like a Good Nearest Neighbor: Practical Content Moderation with Sentence Transformers. CoRR abs/2302.08957 (2023) - [i180]Dennis Zyska, Nils Dycke, Jan Buchmann, Ilia Kuznetsov, Iryna Gurevych:
CARE: Collaborative AI-Assisted Reading Environment. CoRR abs/2302.12611 (2023) - [i179]Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti:
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. CoRR abs/2303.17574 (2023) - [i178]Haritz Puerto, Tim Baumgärtner, Rachneet Sachdeva, Haishuo Fang, Hao Zhang, Sewin Tariverdian, Kexin Wang, Iryna Gurevych:
UKP-SQuARE v3: A Platform for Multi-Agent QA Research. CoRR abs/2303.18120 (2023) - [i177]Ulf A. Hamster, Ji-Ung Lee, Alexander Geyken, Iryna Gurevych:
Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings. CoRR abs/2304.02481 (2023) - [i176]Sukannya Purkayastha, Sebastian Ruder, Jonas Pfeiffer, Iryna Gurevych, Ivan Vulic:
Romanization-based Large-scale Adaptation of Multilingual Language Models. CoRR abs/2304.08865 (2023) - [i175]Jan-Christoph Klie, Ji-Ung Lee, Kevin Stowe, Gözde Gül Sahin, Nafise Sadat Moosavi, Luke Bates, Dominic Petrak, Richard Eckart de Castilho, Iryna Gurevych:
Lessons Learned from a Citizen Science Project for Natural Language Processing. CoRR abs/2304.12836 (2023) - [i174]Georgia Chalvatzaki, Ali Younes, Daljeet Nandha, An T. Le, Leonardo F. R. Ribeiro, Iryna Gurevych:
Learning to Reason over Scene Graphs: A Case Study of Finetuning GPT-2 into a Robot Language Model for Grounded Task Planning. CoRR abs/2305.07716 (2023) - [i173]Aniket Pramanick, Yufang Hou, Iryna Gurevych:
A Diachronic Analysis of the NLP Research Paradigm Shift: When, How, and Why? CoRR abs/2305.12920 (2023) - [i172]Kexin Wang, Nils Reimers, Iryna Gurevych:
DAPR: A Benchmark on Document-Aware Passage Retrieval. CoRR abs/2305.13915 (2023) - [i171]Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. CoRR abs/2305.14536 (2023) - [i170]Tianyu Yang, Thy Thy Tran, Iryna Gurevych:
Dior-CVAE: Diffusion Priors in Variational Dialog Generation. CoRR abs/2305.15025 (2023) - [i169]Haishuo Fang, Haritz Puerto, Iryna Gurevych:
UKP-SQuARE: An Interactive Tool for Teaching Question Answering. CoRR abs/2305.19748 (2023) - [i168]Ji-Ung Lee
Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research. CoRR abs/2306.16900 (2023) - [i167]Jan-Christoph Klie, Richard Eckart de Castilho, Iryna Gurevych:
Analyzing Dataset Annotation Quality Management in the Wild. CoRR abs/2307.08153 (2023) - [i166]Nandan Thakur, Kexin Wang, Iryna Gurevych, Jimmy Lin:
SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval. CoRR abs/2307.10488 (2023) - [i165]Sheng Lu, Irina Bigoulaeva, Rachneet Sachdeva, Harish Tayyar Madabushi, Iryna Gurevych:
Are Emergent Abilities in Large Language Models just In-Context Learning? CoRR abs/2309.01809 (2023) - [i164]Tilman Beck, Hendrik Schuff, Anne Lauscher, Iryna Gurevych:
How (Not) to Use Sociodemographic Information for Subjective NLP Tasks. CoRR abs/2309.07034 (2023) - [i163]Rachneet Sachdeva, Martin Tutek, Iryna Gurevych:
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration. CoRR abs/2309.07822 (2023) - [i162]Andreas Waldis, Iryna Gurevych:
Bridging Topic, Domain, and Language Shifts: An Evaluation of Comprehensive Out-of-Distribution Scenarios. CoRR abs/2309.08316 (2023) - [i161]Chen Cecilia Liu, Fajri Koto, Timothy Baldwin, Iryna Gurevych:
Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings. CoRR abs/2309.08591 (2023) - [i160]Sheng Lu, Shan Chen, Yingya Li, Danielle S. Bitterman, Guergana Savova, Iryna Gurevych:
Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly. CoRR abs/2310.12300 (2023) - [i159]Nico Daheim, Thomas Möllenhoff, Edoardo Maria Ponti, Iryna Gurevych, Mohammad Emtiyaz Khan:
Model Merging by Uncertainty-Based Gradient Matching. CoRR abs/2310.12808 (2023) - [i158]Dominic Petrak, Nafise Sadat Moosavi, Ye Tian, Nikolai Rozanov, Iryna Gurevych:
Learning From Free-Text Human Feedback - Collect New Datasets Or Extend Existing Ones? CoRR abs/2310.15758 (2023) - [i157]Yongxin Huang, Kexin Wang, Sourav Dutta, Raj Nath Patel, Goran Glavas, Iryna Gurevych:
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification. CoRR abs/2311.00408 (2023) - [i156]Sukannya Purkayastha, Anne Lauscher, Iryna Gurevych:
Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals. CoRR abs/2311.03998 (2023) - [i155]Luke Bates, Peter Ebert Christensen, Preslav Nakov, Iryna Gurevych:
A Template Is All You Meme. CoRR abs/2311.06649 (2023) - [i154]Sheng Lu, Hendrik Schuff, Iryna Gurevych:
How are Prompts Different in Terms of Sensitivity? CoRR abs/2311.07230 (2023) - [i153]Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych:
A Survey of Language Model Confidence Estimation and Calibration. CoRR abs/2311.08298 (2023) - [i152]Yuxia Wang, Revanth Gangi Reddy, Zain Muhammad Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama Mohammed Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov:
Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output. CoRR abs/2311.09000 (2023) - [i151]Clifton Poth, Hannah Sterz, Indraneil Paul, Sukannya Purkayastha, Leon Engländer, Timo Imhof, Ivan Vulic, Sebastian Ruder, Iryna Gurevych, Jonas Pfeiffer:
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning. CoRR abs/2311.11077 (2023) - 2022
- [j39]Ji-Ung Lee
Annotation Curricula to Implicitly Train Non-Expert Annotators. Comput. Linguistics 48(2): 343-373 (2022) - [j38]Ilia Kuznetsov, Jan Buchmann, Max Eichler, Iryna Gurevych:
Revise and Resubmit: An Intertextual Model of Text-based Collaboration in Peer Review. Comput. Linguistics 48(4): 949-986 (2022) - [j37]Ji-Ung Lee, Jan-Christoph Klie, Iryna Gurevych:
Erratum: Annotation Curricula to Implicitly Train Non-Expert Annotators. Comput. Linguistics 48(4): 1141 (2022) - [j36]Gregor Geigle, Jonas Pfeiffer, Nils Reimers, Ivan Vulic, Iryna Gurevych:
Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval. Trans. Assoc. Comput. Linguistics 10: 503-521 (2022) - [j35]Anne Lauscher, Henning Wachsmuth, Iryna Gurevych, Goran Glavas:
Scientia Potentia Est - On the Role of Knowledge in Computational Argumentation. Trans. Assoc. Comput. Linguistics 10: 1392-1422 (2022) - [j34]Iryna Gurevych, Michael Kohler
On the Rate of Convergence of a Classifier Based on a Transformer Encoder. IEEE Trans. Inf. Theory 68(12): 8139-8155 (2022) - [c316]Tim Baumgärtner
UKP-SQUARE: An Online Platform for Question Answering Research. ACL (demo) 2022: 9-22 - [c315]Tilman Beck, Bela Bohlender, Christina Viehmann, Vincent Hane, Yanik Adamson, Jaber Khuri, Jonas Brossmann, Jonas Pfeiffer, Iryna Gurevych:
AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters. ACL (demo) 2022: 61-75 - [c314]Jonas Pfeiffer, Gregor Geigle, Aishwarya Kamath, Jan-Martin O. Steitz, Stefan Roth, Ivan Vulic, Iryna Gurevych:
xGQA: Cross-Lingual Visual Question Answering. ACL (Findings) 2022: 2497-2511 - [c313]Andreas Waldis, Tilman Beck, Iryna Gurevych:
Composing Structure-Aware Batches for Pairwise Sentence Classification. ACL (Findings) 2022: 3031-3045 - [c312]Kevin Stowe
IMPLI: Investigating NLI Models' Performance on Figurative Language. ACL (1) 2022: 5375-5388 - [c311]Iryna Gurevych
Detect - Debunk - Communicate: Combating Misinformation with More Realistic NLP. COMMA 2022: 15 - [c310]Nils Dycke, Ilia Kuznetsov, Iryna Gurevych:
Yes-Yes-Yes: Proactive Data Collection for ACL Rolling Review and Beyond. EMNLP (Findings) 2022: 300-318 - [c309]Aniket Pramanick, Tilman Beck, Kevin Stowe, Iryna Gurevych:
The challenges of temporal alignment on Twitter during crises. EMNLP (Findings) 2022: 2658-2672 - [c308]Max Glockner, Yufang Hou, Iryna Gurevych:
Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation. EMNLP 2022: 5916-5936 - [c307]Chen Liu, Gregor Geigle, Robin Krebs, Iryna Gurevych:
FigMemes: A Dataset for Figurative Language Identification in Politically-Opinionated Memes. EMNLP 2022: 7069-7086 - [c306]Tim Baumgärtner, Leonardo F. R. Ribeiro, Nils Reimers, Iryna Gurevych:
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking. EMNLP 2022: 8988-9005 - [c305]Julia Siekiera, Marius Köppel, Edwin Simpson, Kevin Stowe, Iryna Gurevych, Stefan Kramer:
Ranking Creative Language Characteristics in Small Data Scenarios. ICCC 2022: 136-140 - [c304]Lorenz Stangier, Ji-Ung Lee
TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation. AACL/IJCNLP (System Demonstrations) 2022: 9-16 - [c303]Rachneet Sachdeva, Haritz Puerto, Tim Baumgärtner, Sewin Tariverdian, Hao Zhang, Kexin Wang, Hossain Shaikh Saadi, Leonardo F. R. Ribeiro, Iryna Gurevych:
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA. AACL/IJCNLP (System Demonstrations) 2022: 28-38 - [c302]Kexin Wang, Nandan Thakur, Nils Reimers, Iryna Gurevych:
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval. NAACL-HLT 2022: 2345-2360 - [c301]Prasetya Ajie Utama, Joshua Bambrick, Nafise Sadat Moosavi, Iryna Gurevych:
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization. NAACL-HLT 2022: 2763-2776 - [c300]Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal:
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. NAACL-HLT 2022: 3238-3253 - [c299]Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting, Iryna Gurevych:
Adaptable Adapters. NAACL-HLT 2022: 3742-3753 - [i150]Irina Bigoulaeva, Viktor Hangya, Iryna Gurevych, Alexander Fraser:
Addressing the Challenges of Cross-Lingual Hate Speech Detection. CoRR abs/2201.05922 (2022) - [i149]Nils Dycke, Ilia Kuznetsov, Iryna Gurevych:
Yes-Yes-Yes: Donation-based Peer Reviewing Data Collection for ACL Rolling Review and Beyond. CoRR abs/2201.11443 (2022) - [i148]Federico Ruggeri, Mohsen Mesgar, Iryna Gurevych:
ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers. CoRR abs/2202.06690 (2022) - [i147]Chen Liu, Jonas Pfeiffer, Anna Korhonen, Ivan Vulic, Iryna Gurevych:
Delving Deeper into Cross-lingual Visual Question Answering. CoRR abs/2202.07630 (2022) - [i146]Tim Baumgärtner, Kexin Wang, Rachneet Sachdeva, Max Eichler, Gregor Geigle, Clifton Poth, Hannah Sterz, Haritz Puerto, Leonardo F. R. Ribeiro, Jonas Pfeiffer, Nils Reimers, Gözde Gül Sahin, Iryna Gurevych:
UKP-SQUARE: An Online Platform for Question Answering Research. CoRR abs/2203.13693 (2022) - [i145]Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal:
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. CoRR abs/2204.06508 (2022) - [i144]Ilia Kuznetsov, Jan Buchmann, Max Eichler, Iryna Gurevych:
Revise and Resubmit: An Intertextual Model of Text-based Collaboration in Peer Review. CoRR abs/2204.10805 (2022) - [i143]Nafise Sadat Moosavi
Adaptable Adapters. CoRR abs/2205.01549 (2022) - [i142]Prasetya Ajie Utama, Joshua Bambrick, Nafise Sadat Moosavi
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization. CoRR abs/2205.06009 (2022) - [i141]Dominic Petrak, Nafise Sadat Moosavi
Improving the Numerical Reasoning Skills of Pretrained Language Models. CoRR abs/2205.06733 (2022) - [i140]Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
On the Effect of Sample and Topic Sizes for Argument Mining Datasets. CoRR abs/2205.11472 (2022) - [i139]Jan-Christoph Klie, Bonnie Webber, Iryna Gurevych:
Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future. CoRR abs/2206.02280 (2022) - [i138]Ivan Habernal, Daniel Faber, Nicola Recchia, Sebastian Bretthauer, Iryna Gurevych, Indra Spiecker genannt Döhmann, Christoph Burchard:
Mining Legal Arguments in Court Decisions. CoRR abs/2208.06178 (2022) - [i137]Lorenz Stangier, Ji-Ung Lee, Yuxi Wang, Marvin Müller, Nicholas Frick, Joachim Metternich, Iryna Gurevych:
TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation. CoRR abs/2208.07846 (2022) - [i136]Rachneet Sachdeva, Haritz Puerto, Tim Baumgärtner, Sewin Tariverdian, Hao Zhang, Kexin Wang, Hossain Shaikh Saadi, Leonardo F. R. Ribeiro, Iryna Gurevych:
UKP-SQuARE v2 Explainability and Adversarial Attacks for Trustworthy QA. CoRR abs/2208.09316 (2022) - [i135]Haishuo Fang, Ji-Ung Lee, Nafise Sadat Moosavi, Iryna Gurevych:
Transformers with Learnable Activation Functions. CoRR abs/2208.14111 (2022) - [i134]Gregor Geigle, Chen Liu, Jonas Pfeiffer, Iryna Gurevych:
One does not fit all! On the Complementarity of Vision Encoders for Vision and Language Tasks. CoRR abs/2210.06379 (2022) - [i133]Mohsen Mesgar, Thy Thy Tran, Goran Glavas, Iryna Gurevych:
The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification. CoRR abs/2210.06440 (2022) - [i132]Tim Baumgärtner, Leonardo F. R. Ribeiro, Nils Reimers, Iryna Gurevych:
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking. CoRR abs/2210.10695 (2022) - [i131]Max Glockner, Yufang Hou, Iryna Gurevych:
Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation. CoRR abs/2210.13865 (2022) - [i130]Irina Bigoulaeva, Rachneet Sachdeva, Harish Tayyar Madabushi, Aline Villavicencio, Iryna Gurevych:
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5. CoRR abs/2210.17301 (2022) - [i129]Tilman Beck, Andreas Waldis, Iryna Gurevych:
Contextual information integration for stance detection via cross-attention. CoRR abs/2211.01874 (2022) - [i128]Ilia Kuznetsov, Iryna Gurevych:
An Inclusive Notion of Text. CoRR abs/2211.05604 (2022) - [i127]Nils Dycke, Ilia Kuznetsov, Iryna Gurevych:
NLPeer: A Unified Resource for the Computational Study of Peer Review. CoRR abs/2211.06651 (2022) - [i126]Anxo Pérez, Neha Warikoo, Kexin Wang, Javier Parapar, Iryna Gurevych:
Semantic Similarity Models for Depression Severity Estimation. CoRR abs/2211.07624 (2022) - [i125]Tobias Mayer, Neha Warikoo, Oliver Grimm, Andreas Reif, Iryna Gurevych:
GDPR Compliant Collection of Therapist-Patient-Dialogues. CoRR abs/2211.12360 (2022) - [i124]Neha Warikoo, Tobias Mayer, Dana Atzil-Slonim, Amir Eliassaf, Shira Haimovitz, Iryna Gurevych:
NLP meets psychotherapy: Using predicted client emotions and self-reported client emotions to measure emotional coherence. CoRR abs/2211.12512 (2022) - [i123]Martin Funkquist, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych:
CiteBench: A benchmark for Scientific Citation Text Generation. CoRR abs/2212.09577 (2022) - [i122]Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych:
Asking Clarification Questions for Code Generation in General-Purpose Programming Language. CoRR abs/2212.09885 (2022) - [i121]Jesse Dodge, Iryna Gurevych, Roy Schwartz, Emma Strubell, Betty van Aken:
Efficient and Equitable Natural Language Processing in the Age of Deep Learning (Dagstuhl Seminar 22232). Dagstuhl Reports 12(6): 14-27 (2022) - [i120]Khalid Al Khatib, Anita de Waard, Dayne Freitag, Iryna Gurevych, Yufang Hou, Harrisen Scells:
Towards a Unified Model of Scholarly Argumentation (Dagstuhl Seminar 22432). Dagstuhl Reports 12(10): 175-206 (2022) - 2021
- [j33]Michael Bugert, Nils Reimers, Iryna Gurevych:
Generalizing Cross-Document Event Coreference Resolution Across Multiple Corpora. Comput. Linguistics 47(3): 575-614 (2021) - [j32]Benjamin Schiller
Stance Detection Benchmark: How Robust is Your Stance Detection? Künstliche Intell. 35(3): 329-341 (2021) - [c298]Tilman Beck, Ji-Ung Lee
Investigating label suggestions for opinion mining in German Covid-19 social media. ACL/IJCNLP (1) 2021: 1-13 - [c297]Nils Reimers, Iryna Gurevych:
The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes. ACL/IJCNLP (2) 2021: 605-611 - [c296]Phillip Rust, Jonas Pfeiffer, Ivan Vulic, Sebastian Ruder, Iryna Gurevych:
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models. ACL/IJCNLP (1) 2021: 3118-3135 - [c295]Mingzhu Wu, Nafise Sadat Moosavi
Coreference Reasoning in Machine Reading Comprehension. ACL/IJCNLP (1) 2021: 5768-5781 - [c294]Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, Iryna Gurevych:
Metaphor Generation with Conceptual Mappings. ACL/IJCNLP (1) 2021: 6724-6736 - [c293]Michael Bugert, Iryna Gurevych:
Event Coreference Data (Almost) for Free: Mining Hyperlinks from Online News. AKBC 2021 - [c292]Kevin Stowe
Exploring Metaphoric Paraphrase Generation. CoNLL 2021: 323-336 - [c291]Jan-Martin O. Steitz
TxT: Crossmodal End-to-End Learning with Transformers. GCPR 2021: 405-420 - [c290]Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych:
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. EACL 2021: 487-503 - [c289]Mohsen Mesgar, Edwin Simpson
Improving Factual Consistency Between a Response and Persona Facts. EACL 2021: 549-562 - [c288]Michael Bugert, Iryna Gurevych:
Event Coreference Data (Almost) for Free: Mining Hyperlinks from Online News. EMNLP (1) 2021: 471-491 - [c287]Kexin Wang
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding Learning. EMNLP (Findings) 2021: 671-688 - [c286]Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang, Iryna Gurevych:
Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation. EMNLP (1) 2021: 742-750 - [c285]Mohsen Mesgar, Leonardo F. R. Ribeiro, Iryna Gurevych:
A Neural Graph-based Local Coherence Model. EMNLP (Findings) 2021: 2316-2321 - [c284]Leonardo F. R. Ribeiro, Yue Zhang, Iryna Gurevych:
Structural Adapters in Pretrained Language Models for AMR-to-Text Generation. EMNLP (1) 2021: 4269-4282 - [c283]Andreas Rücklé, Gregor Geigle, Max Glockner, Tilman Beck, Jonas Pfeiffer, Nils Reimers, Iryna Gurevych:
AdapterDrop: On the Efficiency of Adapters in Transformers. EMNLP (1) 2021: 7930-7946 - [c282]Prasetya Ajie Utama, Nafise Sadat Moosavi
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning. EMNLP (1) 2021: 9063-9074 - [c281]Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych, Sebastian Ruder:
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts. EMNLP (1) 2021: 10186-10203 - [c280]Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, Iryna Gurevych:
What to Pre-Train on? Efficient Intermediate Task Selection. EMNLP (1) 2021: 10585-10605 - [c279]Weichen Li, Patrick Abels, Zahra Ahmadi
Topic-Guided Knowledge Graph Construction for Argument Mining. ICBK 2021: 315-322 - [c278]Nandan Thakur, Nils Reimers, Johannes Daxenberger, Iryna Gurevych:
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks. NAACL-HLT 2021: 296-310 - [c277]Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Aspect-Controlled Neural Argument Generation. NAACL-HLT 2021: 380-396 - [c276]Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych:
SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables. NeurIPS Datasets and Benchmarks 2021 - [c275]Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, Iryna Gurevych:
BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models. NeurIPS Datasets and Benchmarks 2021 - [e11]Nafise Sadat Moosavi
Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing, SustaiNLP@EMNLP 2021, Virtual, November 10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-955917-01-8 [contents] - [d2]Tristan Miller
WordNet-Wikipedia-Wiktionary alignment. Version 1.1. Zenodo, 2021 [all versions] - [i119]Yevgeniy Puzikov, Simoes Stanley, Iryna Gurevych, Immanuel Schweizer:
Empirical Evaluation of Supervision Signals for Style Transfer Models. CoRR abs/2101.06172 (2021) - [i118]Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer:
Focusing Knowledge-based Graph Argument Mining via Topic Modeling. CoRR abs/2102.02086 (2021) - [i117]Leonardo F. R. Ribeiro, Yue Zhang, Iryna Gurevych:
Structural Adapters in Pretrained Language Models for AMR-to-text Generation. CoRR abs/2103.09120 (2021) - [i116]Gregor Geigle, Jonas Pfeiffer, Nils Reimers, Ivan Vulic, Iryna Gurevych:
Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval. CoRR abs/2103.11920 (2021) - [i115]James Thorne, Max Glockner, Gisela Vallejo, Andreas Vlachos
Evidence-based Verification for Real World Information Needs. CoRR abs/2104.00640 (2021) - [i114]Kexin Wang, Nils Reimers, Iryna Gurevych:
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning. CoRR abs/2104.06979 (2021) - [i113]Gregor Geigle, Nils Reimers, Andreas Rücklé
TWEAC: Transformer with Extendable QA Agent Classifiers. CoRR abs/2104.07081 (2021) - [i112]Clifton Poth, Jonas Pfeiffer, Andreas Rücklé
What to Pre-Train on? Efficient Intermediate Task Selection. CoRR abs/2104.08247 (2021) - [i111]Nafise Sadat Moosavi, Andreas Rücklé
Learning to Reason for Text Generation from Scientific Tables. CoRR abs/2104.08296 (2021) - [i110]Kevin Stowe, Iryna Gurevych:
Combating Temporal Drift in Crisis with Adapted Embeddings. CoRR abs/2104.08535 (2021) - [i109]Nandan Thakur, Nils Reimers, Andreas Rücklé
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models. CoRR abs/2104.08663 (2021) - [i108]Tilman Beck, Ji-Ung Lee, Christina Viehmann
Investigating label suggestions for opinion mining in German Covid-19 social media. CoRR abs/2105.12980 (2021) - [i107]Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, Iryna Gurevych:
Metaphor Generation with Conceptual Mappings. CoRR abs/2106.01228 (2021) - [i106]Ji-Ung Lee, Jan-Christoph Klie, Iryna Gurevych:
Annotation Curricula to Implicitly Train Non-Expert Annotators. CoRR abs/2106.02382 (2021) - [i105]Anne Lauscher, Henning Wachsmuth, Iryna Gurevych, Goran Glavas:
Scientia Potentia Est - On the Role of Knowledge in Computational Argumentation. CoRR abs/2107.00281 (2021) - [i104]Tilman Beck, Bela Bohlender, Christina Viehmann
AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters. CoRR abs/2108.08103 (2021) - [i103]Nils Dycke, Edwin Simpson, Ilia Kuznetsov, Iryna Gurevych:
Ranking Scientific Papers Using Preference Learning. CoRR abs/2109.01190 (2021) - [i102]Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang, Iryna Gurevych:
Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation. CoRR abs/2109.03808 (2021) - [i101]Prasetya Ajie Utama, Nafise Sadat Moosavi, Victor Sanh, Iryna Gurevych:
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning. CoRR abs/2109.04144 (2021) - [i100]Jan-Martin O. Steitz, Jonas Pfeiffer, Iryna Gurevych, Stefan Roth:
TxT: Crossmodal End-to-End Learning with Transformers. CoRR abs/2109.04422 (2021) - [i99]Jonas Pfeiffer, Gregor Geigle, Aishwarya Kamath, Jan-Martin O. Steitz, Stefan Roth, Ivan Vulic, Iryna Gurevych:
xGQA: Cross-Lingual Visual Question Answering. CoRR abs/2109.06082 (2021) - [i98]Iryna Gurevych, Michael Kohler, Gözde Gül Sahin:
On the rate of convergence of a classifier based on a Transformer encoder. CoRR abs/2111.14574 (2021) - [i97]Haritz Puerto, Gözde Gül Sahin, Iryna Gurevych:
MetaQA: Combining Expert Agents for Multi-Skill Question Answering. CoRR abs/2112.01922 (2021) - [i96]Kexin Wang, Nandan Thakur, Nils Reimers, Iryna Gurevych:
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval. CoRR abs/2112.07577 (2021) - 2020
- [j31]Gözde Gül Sahin
LINSPECTOR: Multilingual Probing Tasks for Word Representations. Comput. Linguistics 46(2): 335-385 (2020) - [j30]Johannes Daxenberger
ArgumenText: Argument Classification and Clustering in a Generalized Search Scenario. Datenbank-Spektrum 20(2): 115-121 (2020) - [j29]Yang Gao
Preference-based interactive multi-document summarisation. Inf. Retr. J. 23(6): 555-585 (2020) - [j28]Edwin Simpson
Scalable Bayesian preference learning for crowds. Mach. Learn. 109(4): 689-718 (2020) - [j27]Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych:
Predicting the humorousness of tweets using gaussian process preference learning. Proces. del Leng. Natural 64: 37-44 (2020) - [j26]Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent, Iryna Gurevych:
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs. Trans. Assoc. Comput. Linguistics 8: 589-604 (2020) - [j25]Edwin Simpson
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation. Trans. Assoc. Comput. Linguistics 8: 759-775 (2020) - [c274]Gözde Gül Sahin
Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology. AAAI 2020: 7814-7821 - [c273]Edwin Simpson, Jonas Pfeiffer, Iryna Gurevych:
Low Resource Sequence Tagging with Weak Labels. AAAI 2020: 8862-8869 - [c272]Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych:
Fine-Grained Argument Unit Recognition and Classification. AAAI 2020: 9048-9056 - [c271]Johannes Daxenberger, Iryna Gurevych:
Arguments as Social Good: Good Arguments in Times of Crisis. AI4SG@AAAI Fall Symposium 2020 - [c270]Christoph Scheunemann, Julian Naumann, Max Eichler, Kevin Stowe, Iryna Gurevych:
Data Collection and Annotation Pipeline for Social Good Projects. AI4SG@AAAI Fall Symposium 2020 - [c269]Gözde Gül Sahin
PuzzLing Machines: A Challenge on Learning From Small Data. ACL 2020: 1241-1254 - [c268]Mohsen Mesgar, Sebastian Bücker, Iryna Gurevych:
Dialogue Coherence Assessment Without Explicit Dialogue Act Labels. ACL 2020: 1439-1450 - [c267]Ji-Ung Lee
Empowering Active Learning to Jointly Optimize System and User Demands. ACL 2020: 4233-4247 - [c266]Jan-Christoph Klie, Richard Eckart de Castilho, Iryna Gurevych:
From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains. ACL 2020: 6982-6993 - [c265]Prasetya Ajie Utama, Nafise Sadat Moosavi
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance. ACL 2020: 8717-8729 - [c264]Steffen Eger, Johannes Daxenberger, Iryna Gurevych:
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation. CoNLL 2020: 108-118 - [c263]Michael Bugert, Nils Reimers, Shany Barhom, Ido Dagan, Iryna Gurevych:
Breaking the Subtopic Barrier in Cross-Document Event Coreference Resolution. Text2Story@ECIR 2020: 23-29 - [c262]Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych:
AdapterHub: A Framework for Adapting Transformers. EMNLP (Demos) 2020: 46-54 - [c261]Ilia Kuznetsov, Iryna Gurevych:
A matter of framing: The impact of linguistic formalism on probing results. EMNLP (1) 2020: 171-182 - [c260]Mingzhu Wu, Nafise Sadat Moosavi
Improving QA Generalization by Concurrent Modeling of Multiple Biases. EMNLP (Findings) 2020: 839-853 - [c259]Max Glockner, Ivan Habernal, Iryna Gurevych:
Why do you think that? Exploring faithful sentence-level rationales without supervision. EMNLP (Findings) 2020: 1080-1095 - [c258]Andreas Rücklé, Jonas Pfeiffer, Iryna Gurevych:
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale. EMNLP (1) 2020: 2471-2486 - [c257]Nils Reimers, Iryna Gurevych:
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation. EMNLP (1) 2020: 4512-4525 - [c256]Prasetya Ajie Utama, Nafise Sadat Moosavi
Towards Debiasing NLU Models from Unknown Biases. EMNLP (1) 2020: 7597-7610 - [c255]Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych, Sebastian Ruder:
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer. EMNLP (1) 2020: 7654-7673 - [c254]Shweta Mahajan, Iryna Gurevych, Stefan Roth:
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings. ICLR 2020 - [c253]Elisabeth Bauer, Michael Sailer, Jan Kiesewetter, David Williamson Shaffer, Claudia Schulz, Jonas Pfeiffer, Iryna Gurevych, Martin R. Fischer, Frank Fischer:
Pre-Service Teachers' Diagnostic Argumentation: What is the Role of Conceptual Knowledge and Cross-Domain Epistemic Activities? ICLS 2020 - [c252]Pedro Bispo Santos, Caroline Verena Bhowmik
Avoiding Bias in Students' Intrinsic Motivation Detection. ITS 2020: 89-94 - [e10]Iryna Gurevych, Marianna Apidianaki, Manaal Faruqui:
Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, *SEM@COLING 2020, Barcelona, Spain (Online), December 12-13, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-32-3 [contents] - [i95]Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Stance Detection Benchmark: How Robust Is Your Stance Detection? CoRR abs/2001.01565 (2020) - [i94]Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent, Iryna Gurevych:
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs. CoRR abs/2001.11003 (2020) - [i93]Shweta Mahajan, Iryna Gurevych, Stefan Roth:
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings. CoRR abs/2002.06661 (2020) - [i92]Kevin Stowe, Leonardo F. R. Ribeiro, Iryna Gurevych:
Metaphoric Paraphrase Generation. CoRR abs/2002.12854 (2020) - [i91]Bernd Skiera, Lukas Jürgensmeier, Kevin Stowe, Iryna Gurevych:
How to Best Predict the Daily Number of New Infections of Covid-19. CoRR abs/2004.03937 (2020) - [i90]Nils Reimers, Iryna Gurevych:
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation. CoRR abs/2004.09813 (2020) - [i89]Gözde Gül Sahin, Yova Kementchedjhieva, Phillip Rust, Iryna Gurevych:
PuzzLing Machines: A Challenge on Learning From Small Data. CoRR abs/2004.13161 (2020) - [i88]Ilia Kuznetsov, Iryna Gurevych:
A Matter of Framing: The Impact of Linguistic Formalism on Probing Results. CoRR abs/2004.14999 (2020) - [i87]Mohsen Mesgar, Edwin Simpson, Yue Wang, Iryna Gurevych:
Generating Persona-Consistent Dialogue Responses Using Deep Reinforcement Learning. CoRR abs/2005.00036 (2020) - [i86]Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych, Sebastian Ruder:
MAD-X: An Adapter-based Framework for Multi-task Cross-lingual Transfer. CoRR abs/2005.00052 (2020) - [i85]Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Aspect-Controlled Neural Argument Generation. CoRR abs/2005.00084 (2020) - [i84]Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. CoRR abs/2005.00247 (2020) - [i83]Jonas Pfeiffer, Edwin Simpson, Iryna Gurevych:
Low Resource Multi-Task Sequence Tagging - Revisiting Dynamic Conditional Random Fields. CoRR abs/2005.00250 (2020) - [i82]Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych:
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance. CoRR abs/2005.00315 (2020) - [i81]Ji-Ung Lee, Christian M. Meyer, Iryna Gurevych:
Empowering Active Learning to Jointly Optimize System and User Demands. CoRR abs/2005.04470 (2020) - [i80]Anne Lauscher, Olga Majewska, Leonardo F. R. Ribeiro, Iryna Gurevych, Nikolai Rozanov
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers. CoRR abs/2005.11787 (2020) - [i79]Steffen Eger, Johannes Daxenberger, Iryna Gurevych:
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation. CoRR abs/2006.09109 (2020) - [i78]Martin Schmitt, Leonardo F. R. Ribeiro, Philipp Dufter, Iryna Gurevych, Hinrich Schütze:
Modeling Graph Structure via Relative Position for Better Text Generation from Knowledge Graphs. CoRR abs/2006.09242 (2020) - [i77]Jonas Pfeiffer, Andreas Rücklé
AdapterHub: A Framework for Adapting Transformers. CoRR abs/2007.07779 (2020) - [i76]Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, Iryna Gurevych:
Investigating Pretrained Language Models for Graph-to-Text Generation. CoRR abs/2007.08426 (2020) - [i75]Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych:
OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning. CoRR abs/2008.00853 (2020) - [i74]Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych:
Towards Debiasing NLU Models from Unknown Biases. CoRR abs/2009.12303 (2020) - [i73]Andreas Rücklé
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale. CoRR abs/2010.00980 (2020) - [i72]Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé
Improving QA Generalization by Concurrent Modeling of Multiple Biases. CoRR abs/2010.03338 (2020) - [i71]Max Glockner, Ivan Habernal, Iryna Gurevych:
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision. CoRR abs/2010.03384 (2020) - [i70]Nandan Thakur, Nils Reimers, Johannes Daxenberger, Iryna Gurevych:
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks. CoRR abs/2010.08240 (2020) - [i69]Andreas Rücklé
AdapterDrop: On the Efficiency of Adapters in Transformers. CoRR abs/2010.11918 (2020) - [i68]Nafise Sadat Moosavi, Marcel de Boer, Prasetya Ajie Utama, Iryna Gurevych:
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures. CoRR abs/2010.12510 (2020) - [i67]Julia Siekiera, Marius Köppel, Edwin Simpson, Kevin Stowe, Iryna Gurevych, Stefan Kramer:
Ranking Creative Language Characteristics in Small Data Scenarios. CoRR abs/2010.12613 (2020) - [i66]Michael Bugert, Nils Reimers, Iryna Gurevych:
Cross-Document Event Coreference Resolution Beyond Corpus-Tailored Systems. CoRR abs/2011.12249 (2020) - [i65]Nils Reimers, Iryna Gurevych:
The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes. CoRR abs/2012.14210 (2020) - [i64]Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych, Sebastian Ruder:
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts. CoRR abs/2012.15562 (2020) - [i63]Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych:
Coreference Reasoning in Machine Reading Comprehension. CoRR abs/2012.15573 (2020) - [i62]Phillip Rust, Jonas Pfeiffer, Ivan Vulic, Sebastian Ruder, Iryna Gurevych:
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models. CoRR abs/2012.15613 (2020)
2010 – 2019
- 2019
- [j24]Saeedeh Momtazi, Iryna Gurevych:
Corrigendum to Unsupervised Latent Dirichlet Allocation for supervised question classification. [Information Processing & Management, 54(3), 380-393]. Inf. Process. Manag. 56(3): 1080 (2019) - [j23]Alexandra Núñez
A 'wind of change' - shaping public opinion of the Arab Spring using metaphors. Digit. Scholarsh. Humanit. 34(Supplement-1): 142-149 (2019) - [c251]Andreas Rücklé
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data. AAAI 2019: 6932-6939 - [c250]Claudia Schulz, Christian M. Meyer, Iryna Gurevych:
Challenges in the Automatic Analysis of Students' Diagnostic Reasoning. AAAI 2019: 6974-6981 - [c249]Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Classification and Clustering of Arguments with Contextualized Word Embeddings. ACL (1) 2019: 567-578 - [c248]Tobias Falke, Leonardo F. R. Ribeiro
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference. ACL (1) 2019: 2214-2220 - [c247]Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer, Iryna Gurevych:
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains. ACL (1) 2019: 2761-2772 - [c246]Edwin Simpson
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning. ACL (1) 2019: 5716-5728 - [c245]Paul Reisert, Gisela Vallejo, Naoya Inoue
An Annotation Protocol for Collecting User-Generated Counter-Arguments Using Crowdsourcing. AIED (2) 2019: 232-236 - [c244]Andreas Hanselowski, Christian Stab, Claudia Schulz, Zile Li, Iryna Gurevych:
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking. CoNLL 2019: 493-503 - [c243]Iryna Gurevych:
Claim Validation by Humans and Machines: Where We Are and the Road Ahead. Text2Story@ECIR 2019: 1 - [c242]Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz, Jan Kiesewetter, Jan M. Zottmann, Michael Sailer, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych:
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning. EMNLP/IJCNLP (3) 2019: 73-78 - [c241]Max Eichler, Gözde Gül Sahin
LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations. EMNLP/IJCNLP (3) 2019: 127-132 - [c240]Edwin Simpson, Iryna Gurevych:
A Bayesian Approach for Sequence Tagging with Crowds. EMNLP/IJCNLP (1) 2019: 1093-1104 - [c239]Andreas Rücklé, Nafise Sadat Moosavi
Neural Duplicate Question Detection without Labeled Training Data. EMNLP/IJCNLP (1) 2019: 1607-1617 - [c238]Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych:
Better Rewards Yield Better Summaries: Learning to Summarise Without References. EMNLP/IJCNLP (1) 2019: 3108-3118 - [c237]Leonardo F. R. Ribeiro
Enhancing AMR-to-Text Generation with Dual Graph Representations. EMNLP/IJCNLP (1) 2019: 3181-3192 - [c236]Nils Reimers, Iryna Gurevych:
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. EMNLP/IJCNLP (1) 2019: 3980-3990 - [c235]Shweta Mahajan, Teresa Botschen, Iryna Gurevych, Stefan Roth:
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings. ICCV Workshops 2019: 4561-4570 - [c234]Elisabeth Bauer
Using ENA to Analyze Pre-service Teachers' Diagnostic Argumentations: A Conceptual Framework and Initial Applications. ICQE 2019: 14-25 - [c233]Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych:
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. IJCAI 2019: 2350-2356 - [c232]Yevgeniy Puzikov, Claire Gardent, Ido Dagan, Iryna Gurevych:
Revisiting the Binary Linearization Technique for Surface Realization. INLG 2019: 268-278 - [c231]Tobias Falke, Iryna Gurevych:
Fast Concept Mention Grouping for Concept Map-based Multi-Document Summarization. NAACL-HLT (1) 2019: 695-700 - [c230]Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych, Yusuke Miyao:
Does My Rebuttal Matter? Insights from a Major NLP Conference. NAACL-HLT (1) 2019: 1274-1290 - [c229]Steffen Eger, Gözde Gül Sahin
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. NAACL-HLT (1) 2019: 1634-1647 - [c228]Tristan Miller, Maria Sukhareva, Iryna Gurevych:
A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd. NAACL-HLT (1) 2019: 1790-1796 - [c227]Steffen Eger, Andreas Rücklé, Iryna Gurevych:
Pitfalls in the Evaluation of Sentence Embeddings. RepL4NLP@ACL 2019: 55-60 - [c226]Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych:
OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning. IberLEF@SEPLN 2019: 180-190 - [c225]Andreas Rücklé
Improved Cross-Lingual Question Retrieval for Community Question Answering. WWW 2019: 3179-3186 - [i61]Jan-Christoph Klie, Federico López, Iryna Gurevych, Michael Strube:
HITS-UKP at TAC KBP 2019: Entity Discovery and Linking Track. TAC 2019 - [i60]Steffen Eger, Paul Youssef, Iryna Gurevych:
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks. CoRR abs/1901.02671 (2019) - [i59]Steffen Eger, Chao Li, Florian Netzer, Iryna Gurevych:
Predicting Research Trends From Arxiv. CoRR abs/1903.02831 (2019) - [i58]Gözde Gül Sahin, Clara Vania, Ilia Kuznetsov, Iryna Gurevych:
LINSPECTOR: Multilingual Probing Tasks for Word Representations. CoRR abs/1903.09442 (2019) - [i57]Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych, Yusuke Miyao:
Does My Rebuttal Matter? Insights from a Major NLP Conference. CoRR abs/1903.11367 (2019) - [i56]Steffen Eger, Gözde Gül Sahin, Andreas Rücklé
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. CoRR abs/1903.11508 (2019) - [i55]Nils Reimers, Iryna Gurevych:
Alternative Weighting Schemes for ELMo Embeddings. CoRR abs/1904.02954 (2019) - [i54]Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych:
Robust Argument Unit Recognition and Classification. CoRR abs/1904.09688 (2019) - [i53]Steffen Eger, Andreas Rücklé
Pitfalls in the Evaluation of Sentence Embeddings. CoRR abs/1906.01575 (2019) - [i52]Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer, Iryna Gurevych:
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains. CoRR abs/1906.02564 (2019) - [i51]Yang Gao, Christian M. Meyer, Iryna Gurevych:
Preference-based Interactive Multi-Document Summarisation. CoRR abs/1906.02923 (2019) - [i50]Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Classification and Clustering of Arguments with Contextualized Word Embeddings. CoRR abs/1906.09821 (2019) - [i49]Max Eichler, Gözde Gül Sahin, Iryna Gurevych:
LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations. CoRR abs/1907.11438 (2019) - [i48]Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych:
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. CoRR abs/1907.12894 (2019) - [i47]Mohsen Mesgar, Sebastian Bücker, Iryna Gurevych:
A Neural Model for Dialogue Coherence Assessment. CoRR abs/1908.08486 (2019) - [i46]Nils Reimers, Iryna Gurevych:
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. CoRR abs/1908.10084 (2019) - [i45]Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz, Jan Kiesewetter, Jan M. Zottmann, Michael Sailer, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych:
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning. CoRR abs/1908.11254 (2019) - [i44]Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych:
Enhancing AMR-to-Text Generation with Dual Graph Representations. CoRR abs/1909.00352 (2019) - [i43]Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych:
Better Rewards Yield Better Summaries: Learning to Summarise Without References. CoRR abs/1909.01214 (2019) - [i42]Jonas Pfeiffer, Aishwarya Kamath, Iryna Gurevych, Sebastian Ruder:
What do Deep Networks Like to Read? CoRR abs/1909.04547 (2019) - [i41]Shweta Mahajan, Teresa Botschen, Iryna Gurevych, Stefan Roth:
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings. CoRR abs/1909.06635 (2019) - [i40]Nafise Sadat Moosavi, Prasetya Ajie Utama, Andreas Rücklé
Improving Generalization by Incorporating Coverage in Natural Language Inference. CoRR abs/1909.08940 (2019) - [i39]Andreas Hanselowski, Christian Stab, Claudia Schulz, Zile Li, Iryna Gurevych:
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking. CoRR abs/1911.01214 (2019) - [i38]Andreas Rücklé
Neural Duplicate Question Detection without Labeled Training Data. CoRR abs/1911.05594 (2019) - [i37]Edwin Simpson, Yang Gao, Iryna Gurevych:
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation. CoRR abs/1911.10183 (2019) - [i36]Mohsen Mesgar, Paul Youssef, Lin Li, Dominik Bierwirth, Yihao Li, Christian M. Meyer, Iryna Gurevych:
When is ACL's Deadline? A Scientific Conversational Agent. CoRR abs/1911.10392 (2019) - [i35]Edwin Simpson, Iryna Gurevych:
Scalable Bayesian Preference Learning for Crowds. CoRR abs/1912.01987 (2019) - [i34]Gözde Gül Sahin, Iryna Gurevych:
Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology. CoRR abs/1912.05274 (2019) - [i33]Andreas Hanselowski, Iryna Gurevych:
Analyzing Structures in the Semantic Vector Space: A Framework for Decomposing Word Embeddings. CoRR abs/1912.10434 (2019) - [i32]Ido Dagan, Iryna Gurevych, Dan Roth, Amanda Stent:
Multi-Document Information Consolidation (Dagstuhl Seminar 19182). Dagstuhl Reports 9(4): 124-140 (2019) - 2018
- [j22]Nils Reimers, Nazanin Dehghani, Iryna Gurevych:
Event Time Extraction with a Decision Tree of Neural Classifiers. Trans. Assoc. Comput. Linguistics 6: 77-89 (2018) - [j21]Edwin Simpson
Finding Convincing Arguments Using Scalable Bayesian Preference Learning. Trans. Assoc. Comput. Linguistics 6: 357-371 (2018) - [c224]Teresa Botschen, Daniil Sorokin, Iryna Gurevych:
Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning. ArgMining@EMNLP 2018: 90-96 - [c223]Steffen Eger, Andreas Rücklé
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection. ArgMining@EMNLP 2018: 131-143 - [c222]Gil Rocha
Cross-Lingual Argumentative Relation Identification: from English to Portuguese. ArgMining@EMNLP 2018: 144-154 - [c221]Jan-Christoph Klie, Michael Bugert, Beto Boullosa, Richard Eckart de Castilho, Iryna Gurevych:
The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation. COLING (Demos) 2018: 5-9 - [c220]Ilia Kuznetsov, Iryna Gurevych:
From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical Resources. COLING 2018: 233-244 - [c219]Steffen Eger, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! COLING 2018: 831-844 - [c218]Erik-Lân Do Dinh, Steffen Eger, Iryna Gurevych:
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection. COLING 2018: 1558-1569 - [c217]Andreas Hanselowski, Avinesh P. V. S., Benjamin Schiller, Felix Caspelherr, Debanjan Chaudhuri, Christian M. Meyer, Iryna Gurevych:
A Retrospective Analysis of the Fake News Challenge Stance-Detection Task. COLING 2018: 1859-1874 - [c216]Lisa Beinborn, Teresa Botschen, Iryna Gurevych:
Multimodal Grounding for Language Processing. COLING 2018: 2325-2339 - [c215]Daniil Sorokin, Iryna Gurevych:
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering. COLING 2018: 3306-3317 - [c214]Ilia Kuznetsov, Iryna Gurevych:
Corpus-Driven Thematic Hierarchy Induction. CoNLL 2018: 54-64 - [c213]Chris Stahlhut, Christian Stab, Iryna Gurevych:
Pilot Experiments of Hypothesis Validation Through Evidence Detection for Historians. DESIRES 2018: 83-89 - [c212]Erik-Lân Do Dinh, Iryna Gurevych, Petra Gehring:
Filter and Annotate: Towards Automatic Identification of Genuine Metaphoricity. eScience 2018: 308-309 - [c211]Johannes Daxenberger, Marc Ziegele, Iryna Gurevych, Oliver Quiring
Automatically Detecting Incivility in Online Discussions of News Media. eScience 2018: 318-319 - [c210]Pedro Bispo Santos, Caroline Verena Wahle, Iryna Gurevych:
Using Facial Expressions of Students for Detecting Levels of Intrinsic Motivation. eScience 2018: 323-324 - [c209]Richard Eckart de Castilho, Jan-Christoph Klie, Naveen Kumar, Beto Boullosa, Iryna Gurevych:
Linking Text and Knowledge Using the INCEpTION Annotation Platform. eScience 2018: 327-328 - [c208]Claudia Schulz, Michael Sailer, Jan Kiesewetter, Elisabeth Bauer
Automatic Recommendations for Data Coding: A Use Case from Medical and Teacher Education. eScience 2018: 364-365 - [c207]Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz, Iryna Gurevych:
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification. FEVER@EMNLP 2018: 103-108 - [c206]Daniil Sorokin, Iryna Gurevych:
Interactive Instance-based Evaluation of Knowledge Base Question Answering. EMNLP (Demonstration) 2018: 114-119 - [c205]Beto Boullosa, Richard Eckart de Castilho, Naveen Kumar, Jan-Christoph Klie, Iryna Gurevych:
Integrating Knowledge-Supported Search into the INCEpTION Annotation Platform. EMNLP (Demonstration) 2018: 127-132 - [c204]Erik-Lân Do Dinh, Hannah Wieland, Iryna Gurevych:
Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations. EMNLP 2018: 1412-1424 - [c203]Christian Stab, Tristan Miller, Benjamin Schiller, Pranav Rai, Iryna Gurevych:
Cross-topic Argument Mining from Heterogeneous Sources. EMNLP 2018: 3664-3674 - [c202]Yang Gao, Christian M. Meyer, Iryna Gurevych:
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning. EMNLP 2018: 4120-4130 - [c201]Steffen Eger, Paul Youssef
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks. EMNLP 2018: 4415-4424 - [c200]Pedro Bispo Santos, Iryna Gurevych:
Multimodal prediction of the audience's impression in political debates. ICMI (adjunct) 2018: 6:1-6:6 - [c199]Yevgeniy Puzikov, Iryna Gurevych:
E2E NLG Challenge: Neural Models vs. Templates. INLG 2018: 463-471 - [c198]Erik-Lân Do Dinh, Steffen Eger, Iryna Gurevych:
One Size Fits All? A simple LSTM for non-literal token and construction-level classification. LaTeCH@COLING 2018: 70-80 - [c197]Richard Eckart de Castilho, Giulia Dore, Thomas Margoni, Penny Labropoulou, Iryna Gurevych:
A Legal Perspective on Training Models for Natural Language Processing. LREC 2018 - [c196]Ivan Habernal, Patrick Pauli, Iryna Gurevych:
Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices. LREC 2018 - [c195]Christian Stab, Johannes Daxenberger, Chris Stahlhut, Tristan Miller
ArgumenText: Searching for Arguments in Heterogeneous Sources. NAACL-HLT (Demonstrations) 2018: 21-25 - [c194]Claudia Schulz, Steffen Eger, Johannes Daxenberger, Tobias Kahse, Iryna Gurevych:
Multi-Task Learning for Argumentation Mining in Low-Resource Settings. NAACL-HLT (2) 2018: 35-41 - [c193]Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein:
Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. NAACL-HLT 2018: 386-396 - [c192]Maxime Peyrard, Iryna Gurevych:
Objective Function Learning to Match Human Judgements for Optimization-Based Summarization. NAACL-HLT (2) 2018: 654-660 - [c191]Teresa Botschen, Iryna Gurevych, Jan-Christoph Klie, Hatem Mousselly Sergieh, Stefan Roth:
Multimodal Frame Identification with Multilingual Evaluation. NAACL-HLT 2018: 1481-1491 - [c190]Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein:
The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants. NAACL-HLT 2018: 1930-1940 - [c189]Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein:
SemEval-2018 Task 12: The Argument Reasoning Comprehension Task. SemEval@NAACL-HLT 2018: 763-772 - [c188]Daniil Sorokin, Iryna Gurevych:
Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories. *SEM@NAACL-HLT 2018: 65-75 - [c187]Hatem Mousselly Sergieh, Teresa Botschen, Iryna Gurevych, Stefan Roth:
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning. *SEM@NAACL-HLT 2018: 225-234 - [c186]Xuan-Son Vu, Lucie Flekova, Lili Jiang, Iryna Gurevych:
Lexical-semantic resources: yet powerful resources for automatic personality classification. GWC 2018: 172-181 - [e9]Iryna Gurevych, Yusuke Miyao:
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers. Association for Computational Linguistics 2018, ISBN 978-1-948087-32-2 [contents] - [e8]Iryna Gurevych, Yusuke Miyao:
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 2: Short Papers. Association for Computational Linguistics 2018, ISBN 978-1-948087-34-6 [contents] - [i31]Christian Stab, Tristan Miller, Iryna Gurevych:
Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks. CoRR abs/1802.05758 (2018) - [i30]Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein:
Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. CoRR abs/1802.06613 (2018) - [i29]Andreas Rücklé
Concatenated p-mean Word Embeddings as Universal Cross-Lingual Sentence Representations. CoRR abs/1803.01400 (2018) - [i28]Nils Reimers, Iryna Gurevych:
Why Comparing Single Performance Scores Does Not Allow to Draw Conclusions About Machine Learning Approaches. CoRR abs/1803.09578 (2018) - [i27]Claudia Schulz, Steffen Eger, Johannes Daxenberger, Tobias Kahse, Iryna Gurevych:
Multi-Task Learning for Argumentation Mining in Low-Resource Settings. CoRR abs/1804.04083 (2018) - [i26]Daniil Sorokin, Iryna Gurevych:
Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories. CoRR abs/1804.08460 (2018) - [i25]Edwin Simpson, Iryna Gurevych:
Finding Convincing Arguments Using Scalable Bayesian Preference Learning. CoRR abs/1806.02418 (2018) - [i24]Andreas Hanselowski, Avinesh P. V. S., Benjamin Schiller, Felix Caspelherr, Debanjan Chaudhuri, Christian M. Meyer, Iryna Gurevych:
A Retrospective Analysis of the Fake News Challenge Stance Detection Task. CoRR abs/1806.05180 (2018) - [i23]Lisa Beinborn, Teresa Botschen, Iryna Gurevych:
Multimodal Grounding for Language Processing. CoRR abs/1806.06371 (2018) - [i22]Steffen Eger, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! CoRR abs/1807.08998 (2018) - [i21]Daniil Sorokin, Iryna Gurevych:
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering. CoRR abs/1808.04126 (2018) - [i20]Yang Gao, Christian M. Meyer, Iryna Gurevych:
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning. CoRR abs/1808.09658 (2018) - [i19]Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz, Iryna Gurevych:
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification. CoRR abs/1809.01479 (2018) - [i18]Edwin Simpson
Bayesian Ensembles of Crowds and Deep Learners for Sequence Tagging. CoRR abs/1811.00780 (2018) - [i17]Claudia Schulz, Christian M. Meyer, Michael Sailer, Jan Kiesewetter, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych:
Challenges in the Automatic Analysis of Students' Diagnostic Reasoning. CoRR abs/1811.10550 (2018) - 2017
- [j20]Ivan Habernal, Iryna Gurevych:
Argumentation Mining in User-Generated Web Discourse. Comput. Linguistics 43(1): 125-179 (2017) - [j19]Christian Stab, Iryna Gurevych:
Parsing Argumentation Structures in Persuasive Essays. Comput. Linguistics 43(3): 619-659 (2017) - [j18]Norbert Fuhr, Anastasia Giachanou, Gregory Grefenstette, Iryna Gurevych, Andreas Hanselowski, Kalervo Järvelin, Rosie Jones, Yiqun Liu, Josiane Mothe, Wolfgang Nejdl
An Information Nutritional Label for Online Documents. SIGIR Forum 51(3): 46-66 (2017) - [j17]Iryna Gurevych, Marco Lippi
Argumentation in Social Media. ACM Trans. Internet Techn. 17(3): 23:1-23:2 (2017) - [c185]Steffen Eger, Johannes Daxenberger, Iryna Gurevych:
Neural End-to-End Learning for Computational Argumentation Mining. ACL (1) 2017: 11-22 - [c184]Andreas Rücklé, Iryna Gurevych:
End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights. ACL (System Demonstrations) 2017: 19-24 - [c183]Henning Wachsmuth, Nona Naderi
Argumentation Quality Assessment: Theory vs. Practice. ACL (2) 2017: 250-255 - [c182]Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov, Ido Dagan, Iryna Gurevych:
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets. ACL (2) 2017: 352-357 - [c181]Silvana Hartmann, Éva Mújdricza-Maydt, Ilia Kuznetsov, Iryna Gurevych, Anette Frank:
Assessing SRL Frameworks with Automatic Training Data Expansion. LAW@ACL 2017: 115-121 - [c180]Iryna Gurevych, Christian M. Meyer, Carsten Binnig
Interactive Data Analytics for the Humanities. CICLing (1) 2017: 527-549 - [c179]Johannes Daxenberger, Susanne Görke, Darjush Siahdohoni, Iryna Gurevych, Doris Prechel:
Semantische Suche in Ausgestorbenen Sprachen: Eine Fallstudie für das Hethitische. DHd 2017 - [c178]Alexandra Núñez, Malte Gerloff, Erik-Lân Do Dinh, Andrea Rapp, Petra Gehring, Iryna Gurevych:
A "Wind of Change" - Shaping Public Opinion of the "Arab Spring" Using Metaphors. DH 2017 - [c177]Hatem Mousselly Sergieh, Michael Piotrowski, Iryna Gurevych:
EGOlink: Supporting Editors of Online Historical Sources through Automatic Link Discovery. DH 2017 - [c176]Rachel Wities, Vered Shwartz, Gabriel Stanovsky, Meni Adler, Ori Shapira, Shyam Upadhyay, Dan Roth, Eugenio Martínez-Cámara, Iryna Gurevych, Ido Dagan:
A Consolidated Open Knowledge Representation for Multiple Texts. LSDSem@EACL 2017: 12-24 - [c175]Michael Bugert, Yevgeniy Puzikov, Andreas Rücklé
LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test. LSDSem@EACL 2017: 56-61 - [c174]Beto Boullosa, Richard Eckart de Castilho, Alexander Geyken, Lothar Lemnitzer, Iryna Gurevych:
A tool for extracting sense-disambiguated example sentences through user feedback. EACL (Software Demonstrations) 2017: 69-72 - [c173]Silvana Hartmann, Ilia Kuznetsov, Teresa Martin, Iryna Gurevych:
Out-of-domain FrameNet Semantic Role Labeling. EACL (1) 2017: 471-482 - [c172]Sallam Abualhaija, Tristan Miller, Judith Eckle-Kohler, Iryna Gurevych, Karl-Heinz Zimmermann:
Metaheuristic Approaches to Lexical Substitution and Simplification. EACL (1) 2017: 870-880 - [c171]Christian Stab, Iryna Gurevych:
Recognizing Insufficiently Supported Arguments in Argumentative Essays. EACL (1) 2017: 980-990 - [c170]Ivan Habernal, Raffael Hannemann, Christian Pollak, Christopher Klamm, Patrick Pauli, Iryna Gurevych:
Argotario: Computational Argumentation Meets Serious Games. EMNLP (System Demonstrations) 2017: 7-12 - [c169]Tobias Falke, Iryna Gurevych:
GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques. EMNLP (System Demonstrations) 2017: 19-24 - [c168]Maxime Peyrard, Teresa Botschen, Iryna Gurevych:
Learning to Score System Summaries for Better Content Selection Evaluation. NFiS@EMNLP 2017: 74-84 - [c167]Nils Reimers, Iryna Gurevych:
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging. EMNLP 2017: 338-348 - [c166]Daniil Sorokin, Iryna Gurevych:
Context-Aware Representations for Knowledge Base Relation Extraction. EMNLP 2017: 1784-1789 - [c165]Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych:
What is the Essence of a Claim? Cross-Domain Claim Identification. EMNLP 2017: 2055-2066 - [c164]Tobias Falke, Iryna Gurevych:
Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps. EMNLP 2017: 2951-2961 - [c163]Daniil Sorokin, Iryna Gurevych:
End-to-End Representation Learning for Question Answering with Weak Supervision. SemWebEval@ESWC 2017: 70-83 - [c162]Tobias Falke, Christian M. Meyer, Iryna Gurevych:
Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization. IJCNLP(1) 2017: 801-811 - [c161]Tobias Falke, Iryna Gurevych:
Utilizing Automatic Predicate-Argument Analysis for Concept Map Mining. IWCS(2) 2017 - [c160]Eugenio Martínez-Cámara, Vered Shwartz, Iryna Gurevych, Ido Dagan:
Neural Disambiguation of Causal Lexical Markers Based on Context. IWCS(2) 2017 - [c159]Andreas Rücklé, Iryna Gurevych:
Representation Learning for Answer Selection with LSTM-Based Importance Weighting. IWCS(2) 2017 - [c158]Maria Sukhareva, Francesco Fuscagni, Johannes Daxenberger, Susanne Görke, Doris Prechel, Iryna Gurevych:
Distantly Supervised POS Tagging of Low-Resource Languages under Extreme Data Sparsity: The Case of Hittite. LaTeCH@ACL 2017: 95-104 - [c157]Andreas Rücklé
Real-Time News Summarization with Adaptation to Media Attention. RANLP 2017: 610-617 - [c156]Teresa Botschen, Hatem Mousselly Sergieh, Iryna Gurevych:
Prediction of Frame-to-Frame Relations in the FrameNet Hierarchy with Frame Embeddings. Rep4NLP@ACL 2017: 146-156 - [c155]Tristan Miller, Christian Hempelmann, Iryna Gurevych:
SemEval-2017 Task 7: Detection and Interpretation of English Puns. SemEval@ACL 2017: 58-68 - [c154]Steffen Eger, Erik-Lân Do Dinh
EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION. SemEval@ACL 2017: 942-946 - [c153]Iryna Gurevych:
Latest News in Computational Argumentation: Surfing on the Deep Learning Wave, Scuba Diving in the Abyss of Fundamental Questions. WASSA@EMNLP 2017: 66 - [c152]Thomas Arnold, Johannes Daxenberger, Iryna Gurevych, Karsten Weihe:
Is Interaction More Important than Individual Performance?: A Study of Motifs in Wikia. WWW (Companion Volume) 2017: 1609-1617 - [e7]Ivan Habernal, Iryna Gurevych, Kevin D. Ashley, Claire Cardie, Nancy L. Green, Diane J. Litman, Georgios Petasis, Chris Reed, Noam Slonim, Vern R. Walker:
Proceedings of the 4th Workshop on Argument Mining, ArgMining@EMNLP 2017, Copenhagen, Denmark, September 8, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-84-5 [contents] - [i16]Steffen Eger, Erik-Lân Do Dinh, Ilia Kuznetsov, Masoud Kiaeeha, Iryna Gurevych:
EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION. CoRR abs/1704.02215 (2017) - [i15]Tobias Falke, Iryna Gurevych:
Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps. CoRR abs/1704.04452 (2017) - [i14]Steffen Eger, Johannes Daxenberger, Iryna Gurevych:
Neural End-to-End Learning for Computational Argumentation Mining. CoRR abs/1704.06104 (2017) - [i13]Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych:
What is the Essence of a Claim? Cross-Domain Claim Identification. CoRR abs/1704.07203 (2017) - [i12]Ivan Habernal, Raffael Hannemann, Christian Pollak, Christopher Klamm, Patrick Pauli, Iryna Gurevych:
Argotario: Computational Argumentation Meets Serious Games. CoRR abs/1707.06002 (2017) - [i11]Nils Reimers, Iryna Gurevych:
Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks. CoRR abs/1707.06799 (2017) - [i10]Nils Reimers, Iryna Gurevych:
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging. CoRR abs/1707.09861 (2017) - [i9]Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein:
The Argument Reasoning Comprehension Task. CoRR abs/1708.01425 (2017) - [i8]Xuan-Son Vu, Lucie Flekova, Lili Jiang, Iryna Gurevych:
Lexical-semantic resources: yet powerful resources for automatic personality classification. CoRR abs/1711.09824 (2017) - 2016
- [b2]Iryna Gurevych, Judith Eckle-Kohler, Michael Matuschek:
Linked Lexical Knowledge Bases: Foundations and Applications. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2016, ISBN 978-3-031-01034-7 - [j16]Ofer Arazy, Johannes Daxenberger, Hila Lifshitz-Assaf, Oded Nov, Iryna Gurevych:
Turbulent Stability of Emergent Roles: The Dualistic Nature of Self-Organizing Knowledge Coproduction. Inf. Syst. Res. 27(4): 792-812 (2016) - [j15]Silvana Hartmann, Judith Eckle-Kohler, Iryna Gurevych:
Generating Training Data for Semantic Role Labeling based on Label Transfer from Linked Lexical Resources. Trans. Assoc. Comput. Linguistics 4: 197-213 (2016) - [c151]Lucie Flekova
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization. ACL (1) 2016 - [c150]Ivan Habernal, Iryna Gurevych:
Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM. ACL (1) 2016 - [c149]Beata Beigman Klebanov, Christian Stab, Jill Burstein, Yi Song, Binod Gyawali, Iryna Gurevych:
Argumentation: Content, Structure, and Relationship with Essay Quality. ArgMining@ACL 2016 - [c148]Christian M. Meyer, Darina Benikova, Margot Mieskes
MDSWriter: Annotation Tool for Creating High-Quality Multi-Document Summarization Corpora. ACL (System Demonstrations) 2016: 97-102 - [c147]Nils Reimers, Nazanin Dehghani, Iryna Gurevych:
Temporal Anchoring of Events for the TimeBank Corpus. ACL (1) 2016 - [c146]Christian Stab, Iryna Gurevych:
Recognizing the Absence of Opposing Arguments in Persuasive Essays. ArgMining@ACL 2016 - [c145]Hatem Mousselly Sergieh, Iryna Gurevych:
Enriching Wikidata with Frame Semantics. AKBC@NAACL-HLT 2016: 29-34 - [c144]Lisa Beinborn, Torsten Zesch, Iryna Gurevych:
Predicting the Spelling Difficulty of Words for Language Learners. BEA@NAACL-HLT 2016: 73-83 - [c143]Nils Reimers, Philip Beyer, Iryna Gurevych:
Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity. COLING 2016: 87-96 - [c142]Pedro Bispo Santos, Lisa Beinborn, Iryna Gurevych:
A domain-agnostic approach for opinion prediction on speech. PEOPLES@COLING 2016: 163-172 - [c141]Darina Benikova, Margot Mieskes, Christian M. Meyer, Iryna Gurevych:
Bridging the gap between extractive and abstractive summaries: Creation and evaluation of coherent extracts from heterogeneous sources. COLING 2016: 1039-1050 - [c140]Carsten Schnober, Steffen Eger, Erik-Lân Do Dinh, Iryna Gurevych:
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks. COLING 2016: 1703-1714 - [c139]Christian M. Meyer, Judith Eckle-Kohler, Iryna Gurevych:
Semi-automatic Detection of Cross-lingual Marketing Blunders based on Pragmatic Label Propagation in Wiktionary. COLING 2016: 2071-2081 - [c138]Chinnappa Guggilla, Tristan Miller, Iryna Gurevych:
CNN- and LSTM-based Claim Classification in Online User Comments. COLING 2016: 2740-2751 - [c137]Omer Levy, Ido Dagan, Gabriel Stanovsky, Judith Eckle-Kohler, Iryna Gurevych:
Modeling Extractive Sentence Intersection via Subtree Entailment. COLING 2016: 2891-2901 - [c136]Tobias Falke, Gabriel Stanovsky, Iryna Gurevych, Ido Dagan:
Porting an Open Information Extraction System from English to German. EMNLP 2016: 892-898 - [c135]Ivan Habernal, Iryna Gurevych:
What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation. EMNLP 2016: 1214-1223 - [c134]Patrick Lerner, Andras Csanadi, Johannes Daxenberger, Lucie Flekova, Christian Ghanem, Ingo Kollar, Frank Fischer, Iryna Gurevych:
A User Interface for the Exploration of Manually and Automatically Coded Scientific Reasoning and Argumentation. ICLS 2016 - [c133]Ivan Habernal, Omnia Zayed, Iryna Gurevych:
C4Corpus: Multilingual Web-size Corpus with Free License. LREC 2016 - [c132]Tristan Miller, Mohamed Khemakhem, Richard Eckart de Castilho, Iryna Gurevych:
Sense-annotating a Lexical Substitution Data Set with Ubyline. LREC 2016 - [c131]Éva Mújdricza-Maydt, Silvana Hartmann, Iryna Gurevych, Anette Frank:
Combining Semantic Annotation of Word Sense & Semantic Roles: A Novel Annotation Scheme for VerbNet Roles on German Language Data. LREC 2016 - [c130]Maria Sukhareva, Judith Eckle-Kohler, Ivan Habernal, Iryna Gurevych:
Crowdsourcing a Large Dataset of Domain-Specific Context-Sensitive Semantic Verb Relations. LREC 2016 - [c129]Richard Eckart de Castilho, Éva Mújdricza-Maydt, Seid Muhie Yimam, Silvana Hartmann, Iryna Gurevych, Anette Frank, Chris Biemann:
A Web-based Tool for the Integrated Annotation of Semantic and Syntactic Structures. LT4DH@COLING 2016: 76-84 - [c128]Ivan Habernal, Maria Sukhareva, Fiana Raiber, Anna Shtok, Oren Kurland, Hadar Ronen, Judit Bar-Ilan
New Collection Announcement: Focused Retrieval Over the Web. SIGIR 2016: 701-704 - [i7]Ivan Habernal, Iryna Gurevych:
Argumentation Mining in User-Generated Web Discourse. CoRR abs/1601.02403 (2016) - [i6]Christian Stab, Iryna Gurevych:
Parsing Argumentation Structures in Persuasive Essays. CoRR abs/1604.07370 (2016) - [i5]Carsten Schnober, Steffen Eger, Erik-Lân Do Dinh, Iryna Gurevych:
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks. CoRR abs/1610.07796 (2016) - 2015
- [j14]Steven Burrows, Iryna Gurevych, Benno Stein:
The Eras and Trends of Automatic Short Answer Grading. Int. J. Artif. Intell. Educ. 25(1): 60-117 (2015) - [j13]Lucie Flekova, Tahir Sousa, Margot Mieskes, Iryna Gurevych:
Document-level school lesson quality classification based on German transcripts. J. Lang. Technol. Comput. Linguistics 30(1): 99-124 (2015) - [c127]Erik-Lân Do Dinh
In-tool Learning for Selective Manual Annotation in Large Corpora. ACL (System Demonstrations) 2015: 13-18 - [c126]Tristan Miller, Iryna Gurevych:
Automatic disambiguation of English puns. ACL (1) 2015: 719-729 - [c125]Lisa Beinborn, Torsten Zesch, Iryna Gurevych:
Candidate evaluation strategies for improved difficulty prediction of language tests. BEA@NAACL-HLT 2015: 1-11 - [c124]Carsten Schnober, Iryna Gurevych:
Combining Topic Models for Corpus Exploration: Applying LDA for Complex Corpus Research Tasks in a Digital Humanities Project. TM@CIKM 2015: 11-20 - [c123]Emily Jamison, Iryna Gurevych:
Noise or additional information? Leveraging crowdsource annotation item agreement for natural language tasks. EMNLP 2015: 291-297 - [c122]Lucie Flekova
Personality Profiling of Fictional Characters using Sense-Level Links between Lexical Resources. EMNLP 2015: 1805-1816 - [c121]Ivan Habernal, Iryna Gurevych:
Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse. EMNLP 2015: 2127-2137 - [c120]Judith Eckle-Kohler, Roland Kluge, Iryna Gurevych:
On the Role of Discourse Markers for Discriminating Claims and Premises in Argumentative Discourse. EMNLP 2015: 2236-2242 - [c119]Stefan Henß, Margot Mieskes, Iryna Gurevych:
A Reinforcement Learning Approach for Adaptive Single- and Multi-Document Summarization. GSCL 2015: 3-12 - [c118]Tahir Sousa, Lucie Flekova, Margot Mieskes, Iryna Gurevych:
Constructive feedback, thinking process and cooperation: assessing the quality of classroom interaction. INTERSPEECH 2015: 2739-2743 - [c117]Christian Kirschner, Judith Eckle-Kohler, Iryna Gurevych:
Linking the Thoughts: Analysis of Argumentation Structures in Scientific Publications. ArgMining@HLT-NAACL 2015: 1-11 - [i4]Nils Reimers, Iryna Gurevych:
Event Nugget Detection, Classification and Coreference Resolution using Deep Neural Networks and eXtreme Grandient Boosting. TAC 2015 - [i3]Iryna Gurevych, Eduard H. Hovy, Noam Slonim, Benno Stein:
Debating Technologies (Dagstuhl Seminar 15512). Dagstuhl Reports 5(12): 18-46 (2015) - 2014
- [j12]Daniela Oelke, Hendrik Strobelt, Christian Rohrdantz, Iryna Gurevych, Oliver Deussen:
Comparative Exploration of Document Collections: a Visual Analytics Approach. Comput. Graph. Forum 33(3): 201-210 (2014) - [j11]Lisa Beinborn, Torsten Zesch, Iryna Gurevych:
Predicting the Difficulty of Language Proficiency Tests. Trans. Assoc. Comput. Linguistics 2: 517-529 (2014) - [c116]Nicolai Erbs, Pedro Bispo Santos, Iryna Gurevych, Torsten Zesch:
DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments. ACL (System Demonstrations) 2014: 31-36 - [c115]Johannes Daxenberger, Oliver Ferschke, Iryna Gurevych, Torsten Zesch:
DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data. ACL (System Demonstrations) 2014: 61-66 - [c114]Seid Muhie Yimam
Automatic Annotation Suggestions and Custom Annotation Layers in WebAnno. ACL (System Demonstrations) 2014: 91-96 - [c113]Johannes Daxenberger, Iryna Gurevych:
Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia. ACL (2) 2014: 187-192 - [c112]Ivan Habernal, Judith Eckle-Kohler, Iryna Gurevych:
Argumentation Mining on the Web from Information Seeking Perspective. ArgNLP 2014 - [c111]Christian Stab, Christian Kirschner, Judith Eckle-Kohler, Iryna Gurevych:
Argumentation Mining in Persuasive Essays and Scientific Articles from the Discourse Structure Perspective. ArgNLP 2014 - [c110]Daniela Oelke, Iryna Gurevych:
A study on human-generated tag structures to inform tag cloud layout. AVI 2014: 297-304 - [c109]Neil Dhruva, Oliver Ferschke, Iryna Gurevych:
Solving Open-Domain Multiple Choice Questions with Textual Entailment and Text Similarity Measures. CLEF (Working Notes) 2014: 1375-1385 - [c108]Richard Eckart de Castilho
A broad-coverage collection of portable NLP components for building shareable analysis pipelines. OIAF4HLT@COLING 2014: 1-11 - [c107]Christian M. Meyer, Margot Mieskes, Christian Stab, Iryna Gurevych:
DKPro Agreement: An Open-Source Java Library for Measuring Inter-Rater Agreement. COLING (Demos) 2014: 105-109 - [c106]Michael Matuschek, Iryna Gurevych:
High Performance Word Sense Alignment by Joint Modeling of Sense Distance and Gloss Similarity. COLING 2014: 245-256 - [c105]Christian Stab, Iryna Gurevych:
Annotating Argument Components and Relations in Persuasive Essays. COLING 2014: 1501-1510 - [c104]Kostadin Cholakov, Judith Eckle-Kohler, Iryna Gurevych:
Automated Verb Sense Labelling Based on Linked Lexical Resources. EACL 2014: 68-77 - [c103]Christian Stab, Iryna Gurevych:
Identifying Argumentative Discourse Structures in Persuasive Essays. EMNLP 2014: 46-56 - [c102]Michael Matuschek, Tristan Miller, Iryna Gurevych:
A Language-independent Sense Clustering Approach for Enhanced WSD. KONVENS 2014: 11-20 - [c101]Jinseok Nam, Christian Kirschner, Zheng Ma, Nicolai Erbs, Susanne Neumann, Daniela Oelke, Steffen Remus, Chris Biemann, Judith Eckle-Kohler, Johannes Fürnkranz, Iryna Gurevych, Marc Rittberger, Karsten Weihe:
Knowledge Discovery in Scientific Literature. KONVENS 2014: 66-76 - [c100]Kostadin Cholakov, Chris Biemann, Judith Eckle-Kohler, Iryna Gurevych:
Lexical Substitution Dataset for German. LREC 2014: 1406-1411 - [c99]Tristan Miller, Iryna Gurevych:
WordNet―Wikipedia―Wiktionary: Construction of a Three-way Alignment. LREC 2014: 2094-2100 - [c98]Emily Jamison, Iryna Gurevych:
Needle in a Haystack: Reducing the Costs of Annotating Rare-Class Instances in Imbalanced Datasets. PACLIC 2014: 244-253 - [c97]Emily Jamison, Iryna Gurevych:
Adjacency Pair Recognition in Wikipedia Discussions using Lexical Pairs. PACLIC 2014: 479-488 - [c96]Jinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych, Johannes Fürnkranz
Large-Scale Multi-label Text Classification - Revisiting Neural Networks. ECML/PKDD (2) 2014: 437-452 - [c95]Lucie Flekova, Oliver Ferschke, Iryna Gurevych:
UKPDIPF: Lexical Semantic Approach to Sentiment Polarity Prediction in Twitter Data. SemEval@COLING 2014: 704-710 - [c94]Nicolai Erbs, Iryna Gurevych, Torsten Zesch:
Sense and Similarity: A Study of Sense-level Similarity Measures. *SEM@COLING 2014: 30-39 - [c93]Lucie Flekova
What makes a good biography?: multidimensional quality analysis based on wikipedia article feedback data. WWW 2014: 855-866 - [d1]Tristan Miller
WordNet-Wikipedia-Wiktionary alignment. Version 1.0. Zenodo, 2014 [all versions] - 2013
- [j10]Nicolai Erbs, Iryna Gurevych, Marc Rittberger
Bringing Order to Digital Libraries: From Keyphrase Extraction to Index Term Assignment. D Lib Mag. 19(9/10) (2013) - [j9]Iryna Gurevych, Torsten Zesch:
Collective intelligence and language resources: introduction to the special issue on collaboratively constructed language resources. Lang. Resour. Evaluation 47(1): 1-7 (2013) - [j8]Michael Matuschek, Iryna Gurevych:
Dijkstra-WSA: A Graph-Based Approach to Word Sense Alignment. Trans. Assoc. Comput. Linguistics 1: 151-164 (2013) - [c92]Seid Muhie Yimam, Iryna Gurevych, Richard Eckart de Castilho, Chris Biemann:
WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations. ACL (Conference System Demonstrations) 2013: 1-6 - [c91]Tristan Miller, Nicolai Erbs, Hans-Peter Zorn, Torsten Zesch, Iryna Gurevych:
DKPro WSD: A Generalized UIMA-based Framework for Word Sense Disambiguation. ACL (Conference System Demonstrations) 2013: 37-42 - [c90]Daniel Bär, Torsten Zesch, Iryna Gurevych:
DKPro Similarity: An Open Source Framework for Text Similarity. ACL (Conference System Demonstrations) 2013: 121-126 - [c89]Omer Levy, Torsten Zesch, Ido Dagan, Iryna Gurevych:
Recognizing Partial Textual Entailment. ACL (2) 2013: 451-455 - [c88]Oliver Ferschke, Iryna Gurevych, Marc Rittberger:
The Impact of Topic Bias on Quality Flaw Prediction in Wikipedia. ACL (1) 2013: 721-730 - [c87]Silvana Hartmann, Iryna Gurevych:
FrameNet on the Way to Babel: Creating a Bilingual FrameNet Using Wiktionary as Interlingual Connection. ACL (1) 2013: 1363-1373 - [c86]Judith Eckle-Kohler, Tri-Duc Nghiem, Iryna Gurevych:
Automatically assigning research methods to journal articles in the domain of social sciences. ASIST 2013: 1-8 - [c85]Lucie Flekova, Iryna Gurevych:
Can We Hide in the Web? Large Scale Simultaneous Age and Gender Author Profiling in Social Media Notebook for PAN at CLEF 2013. CLEF (Working Notes) 2013 - [c84]Johannes Daxenberger, Iryna Gurevych:
Automatically Classifying Edit Categories in Wikipedia Revisions. EMNLP 2013: 578-589 - [c83]Lisa Beinborn, Torsten Zesch, Iryna Gurevych:
Cognate Production using Character-based Machine Translation. IJCNLP 2013: 883-891 - [c82]György Szarvas, Iryna Gurevych:
Uncertainty Detection for Natural Language Watermarking. IJCNLP 2013: 1188-1194 - [c81]György Szarvas, Chris Biemann, Iryna Gurevych:
Supervised All-Words Lexical Substitution using Delexicalized Features. HLT-NAACL 2013: 1131-1141 - [c80]Jungi Kim, Iryna Gurevych:
UKP at CrossLink2: CJK-to-English Subtasks. NTCIR 2013 - [c79]Nicolai Erbs, Iryna Gurevych, Torsten Zesch:
Hierarchy Identification for Automatically Generating Table-of-Contents. RANLP 2013: 252-260 - [c78]Emily Jamison, Iryna Gurevych:
Headerless, Quoteless, but not Hopeless? Using Pairwise Email Classification to Disentangle Email Threads. RANLP 2013: 327-335 - [c77]Hans-Peter Zorn, Iryna Gurevych:
UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description. SemEval@NAACL-HLT 2013: 212-216 - [c76]Omer Levy, Torsten Zesch, Ido Dagan, Iryna Gurevych:
UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis. SemEval@NAACL-HLT 2013: 285-289 - [p5]Oliver Ferschke, Johannes Daxenberger, Iryna Gurevych:
A Survey of NLP Methods and Resources for Analyzing the Collaborative Writing Process in Wikipedia. The People's Web Meets NLP 2013: 121-160 - [e6]Iryna Gurevych, Chris Biemann, Torsten Zesch:
Language Processing and Knowledge in the Web - 25th International Conference, GSCL 2013, Darmstadt, Germany, September 25-27, 2013. Proceedings. Lecture Notes in Computer Science 8105, Springer 2013, ISBN 978-3-642-40721-5 [contents] - [e5]Iryna Gurevych, Jungi Kim:
The People's Web Meets NLP, Collaboratively Constructed Language Resources. Theory and Applications of Natural Language Processing, Springer 2013, ISBN 978-3-642-35084-9 [contents] - [i2]Jinseok Nam, Jungi Kim, Iryna Gurevych, Johannes Fürnkranz:
Large-scale Multi-label Text Classification - Revisiting Neural Networks. CoRR abs/1312.5419 (2013) - 2012
- [j7]György Szarvas, Veronika Vincze, Richárd Farkas
Cross-Genre and Cross-Domain Detection of Semantic Uncertainty. Comput. Linguistics 38(2): 335-367 (2012) - [c75]Richard Eckart de Castilho, Sabine Bartsch
CSNIPER - Annotation-by-query for Non-canonical Constructions in Large Corpora. ACL (System Demonstrations) 2012: 85-90 - [c74]Oliver Ferschke, Iryna Gurevych, Marc Rittberger:
FlawFinder: A Modular System for Predicting Quality Flaws in Wikipedia. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c73]Daniel Bär, Torsten Zesch, Iryna Gurevych:
Text Reuse Detection using a Composition of Text Similarity Measures. COLING 2012: 167-184 - [c72]Jungi Kim, Jinseok Nam, Iryna Gurevych:
Learning Semantics with Deep Belief Network for Cross-Language Information Retrieval. COLING (Posters) 2012: 579-588 - [c71]Johannes Daxenberger, Iryna Gurevych:
A Corpus-Based Study of Edit Categories in Featured and Non-Featured Wikipedia Articles. COLING 2012: 711-726 - [c70]Christian M. Meyer, Iryna Gurevych:
To Exhibit is not to Loiter: A Multilingual, Sense-Disambiguated Wiktionary for Measuring Verb Similarity. COLING 2012: 1763-1780 - [c69]Tristan Miller, Chris Biemann, Torsten Zesch, Iryna Gurevych:
Using Distributional Similarity for Lexical Expansion in Knowledge-based Word Sense Disambiguation. COLING 2012: 1781-1796 - [c68]Judith Eckle-Kohler, Iryna Gurevych:
Subcat-LMF: Fleshing out a standardized format for subcategorization frame interoperability. EACL 2012: 550-560 - [c67]Iryna Gurevych, Judith Eckle-Kohler, Silvana Hartmann, Michael Matuschek, Christian M. Meyer, Christian Wirth:
UBY - A Large-Scale Unified Lexical-Semantic Resource Based on LMF. EACL 2012: 580-590 - [c66]Oliver Ferschke, Iryna Gurevych, Yevgen Chebotar:
Behind the Article: Recognizing Dialog Acts in Wikipedia Talk Pages. EACL 2012: 777-786 - [c65]Iryna Gurevych, Michael Matuschek, Tri-Duc Nghiem, Judith Eckle-Kohler, Silvana Hartmann, Christian M. Meyer:
Navigating sense-aligned lexical-semantic resources: The web interface to UBY. KONVENS 2012: 194-198 - [c64]Judith Eckle-Kohler, Iryna Gurevych:
Standardizing lexical-semantic resources - Fleshing out the abstract standard LMF. KONVENS 2012: 496-505 - [c63]Judith Eckle-Kohler, Iryna Gurevych, Silvana Hartmann, Michael Matuschek, Christian M. Meyer:
UBY-LMF - A Uniform Model for Standardizing Heterogeneous Lexical-Semantic Resources in ISO-LMF. LREC 2012: 275-282 - [c62]Christian Chiarcos
The Open Linguistics Working Group. LREC 2012: 3603-3610 - [c61]Daniel Bär, Chris Biemann, Iryna Gurevych, Torsten Zesch:
UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures. SemEval@NAACL-HLT 2012: 435-440 - [e4]Iryna Gurevych, Nicoletta Calzolari Zamorani, Jungi Kim:
Proceedings of the 3rd Workshop on the People's Web Meets NLP: Collaboratively Constructed Semantic Resources and their Applications to NLP@ACL 2012, Jeju, Republic of Korea, July 13, 2012. Association for Computational Linguistics 2012, ISBN 978-1-937284-36-7 [contents] - [i1]Nicolai Erbs, Iryna Gurevych, Torsten Zesch, Eneko Agirre, Aitor Soroa, Ander Barrena, Ugaitz Etxebarria:
UKP-UBC Entity Linking at TAC-KBP. TAC 2012 - 2011
- [c60]Daniel Bär, Nicolai Erbs, Torsten Zesch, Iryna Gurevych:
Wikulu: An Extensible Architecture for Integrating Natural Language Processing Techniques with Wikis. ACL (System Demonstrations) 2011: 74-79 - [c59]Oliver Ferschke, Torsten Zesch, Iryna Gurevych:
Wikipedia Revision Toolkit: Efficiently Accessing Wikipedia's Edit History. ACL (System Demonstrations) 2011: 97-102 - [c58]György Szarvas, Torsten Zesch, Iryna Gurevych:
Combining Heterogeneous Knowledge Resources for Improved Distributional Semantic Models. CICLing (1) 2011: 289-303 - [c57]Richard Eckart de Castilho
A lightweight framework for reproducible parameter sweeping in information retrieval. DESIRE@CIKM 2011: 7-10 - [c56]Benjamin Herbert, György Szarvas, Iryna Gurevych:
Combining Query Translation Techniques to Improve Cross-Language Information Retrieval. ECIR 2011: 712-715 - [c55]Christian M. Meyer, Iryna Gurevych:
What Psycholinguists Know About Chemistry: Aligning Wiktionary and WordNet for Increased Domain Coverage. IJCNLP 2011: 883-892 - [c54]Nicolai Erbs, Daniel Bär, Iryna Gurevych, Torsten Zesch:
First Aid for Information Chaos in Wikis - Collaborative Information Management Enhanced Through Language Technology. ISI 2011: 501-502 - [c53]Elisabeth Niemann, Iryna Gurevych:
The People's Web meets Linguistic Knowledge: Automatic Sense Alignment of Wikipedia and WordNet. IWCS 2011 - [c52]Jungi Kim, Iryna Gurevych:
UKP at CrossLink: Anchor Text Translation for Cross-lingual Link Discovery. NTCIR 2011 - [c51]Hans-Peter Zorn, Iryna Gurevych:
A Study of Sense-Disambiguated Networks Induced from Folksonomies. PACLIC 2011: 323-332 - [c50]Daniel Bär, Torsten Zesch, Iryna Gurevych:
A Reflective View on Text Similarity. RANLP 2011: 515-520 - [c49]Nicolai Erbs, Torsten Zesch, Iryna Gurevych:
Link Discovery: A Comprehensive Analysis. ICSC 2011: 83-86 - [c48]Richard Eckart de Castilho
Semantic Service Retrieval Based on Natural Language Querying and Semantic Similarity. ICSC 2011: 173-176 - 2010
- [j6]Iryna Gurevych, Elisabeth Wolf:
Expert-Built and Collaboratively Constructed Lexical Semantic Resources. Lang. Linguistics Compass 4(11): 1074-1090 (2010) - [j5]Torsten Zesch, Iryna Gurevych:
Wisdom of crowds versus wisdom of linguists - measuring the semantic relatedness of words. Nat. Lang. Eng. 16(1): 25-59 (2010) - [c47]Niklas Jakob, Iryna Gurevych:
Using Anaphora Resolution to Improve Opinion Target Identification in Movie Reviews. ACL (2) 2010: 263-268 - [c46]Cigdem Toprak, Niklas Jakob, Iryna Gurevych:
Sentence and Expression Level Annotation of Opinions in User-Generated Discourse. ACL 2010: 575-584 - [c45]Christian M. Meyer, Iryna Gurevych:
Worth Its Weight in Gold or Yet Another Resource - A Comparative Study of Wiktionary, OpenThesaurus and GermaNet. CICLing 2010: 38-49 - [c44]Zhemin Zhu, Delphine Bernhard, Iryna Gurevych:
A Monolingual Tree-based Translation Model for Sentence Simplification. COLING 2010: 1353-1361 - [c43]Marcus Rohrbach, Michael Stark, György Szarvas, Iryna Gurevych, Bernt Schiele
What helps where - and why? Semantic relatedness for knowledge transfer. CVPR 2010: 910-917 - [c42]Christof Müller, Iryna Gurevych:
Semantically Enhanced Term Frequency. ECIR 2010: 598-601 - [c41]Niklas Jakob, Iryna Gurevych:
Extracting Opinion Targets in a Single and Cross-Domain Setting with Conditional Random Fields. EMNLP 2010: 1035-1045 - [c40]Katharina Schwarz, Pavel Rojtberg, Joachim Caspar, Iryna Gurevych, Michael Goesele
Text-to-Video: Story Illustration from Online Photo Collections. KES (4) 2010: 402-409 - [c39]Torsten Zesch, Iryna Gurevych:
The More the Better? Assessing the Influence of Wikipedia's Growth on Semantic Relatedness Measures. LREC 2010 - [c38]Iryna Gurevych:
Wikabularies and the Like - Community-Based Knowledge Resources on the Web. OTM Conferences (2) 2010: 919 - [c37]György Szarvas, Iryna Gurevych:
TUD: Semantic Relatedness for Relation Classification. SemEval@ACL 2010: 210-213 - [e3]Iryna Gurevych, Torsten Zesch:
Proceedings of the 2nd Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources@COLING 2010, Beijing, China, August 28, 2010. Coling 2010 Organizing Committee 2010 [contents]
2000 – 2009
- 2009
- [c36]Delphine Bernhard, Iryna Gurevych:
Combining Lexical Semantic Resources with Question & Answer Archives for Translation-Based Answer Finding. ACL/IJCNLP 2009: 728-736 - [c35]Iryna Gurevych, Delphine Bernhard, Kateryna Ignatova, Cigdem Toprak:
Educational Question Answering based on Social Media Content. AIED 2009: 133-140 - [c34]Niklas Jakob, Stefan Hagen Weber, Mark-Christoph Müller
Beyond the stars: exploiting free-text user reviews to improve the accuracy of movie recommendations. TSA@CIKM 2009: 57-64 - [c33]György Szarvas, Benjamin Herbert, Iryna Gurevych:
Prior Art Search using International Patent Classification Codes and All-Claims-Queries. CLEF (Working Notes) 2009 - [c32]Elisabeth Wolf, Delphine Bernhard, Iryna Gurevych:
Combining Probabilistic and Translation-Based Models for Information Retrieval Based on Word Sense Annotations. CLEF (1) 2009: 120-127 - [c31]Benjamin Herbert, György Szarvas, Iryna Gurevych:
Prior Art Search Using International Patent Classification Codes and All-Claims-Queries. CLEF (1) 2009: 452-459 - [c30]Elisabeth Wolf, Delphine Bernhard, Iryna Gurevych:
Combining Probabilistic and Translation-Based Models for Information Retrieval based on Word Sense Annotations. CLEF (Working Notes) 2009 - [c29]Christof Müller, Iryna Gurevych:
A Study on the Semantic Relatedness of Query and Document Terms in Information Retrieval. EMNLP 2009: 1338-1347 - [c28]Zhemin Zhu, Delphine Bernhard, Iryna Gurevych:
A Multi-Dimensional Model for Assessing the Quality of Answers in Social Q&A Sites. ICIQ 2009: 264-265 - [c27]Torsten Zesch, Iryna Gurevych:
Approximate Matching for Evaluating Keyphrase Extraction. RANLP 2009: 484-489 - [c26]Johannes Hoffart, Torsten Zesch, Iryna Gurevych:
An architecture to support intelligent user interfaces for Wikis by means of Natural Language Processing. Int. Sym. Wikis 2009 - [e2]Iryna Gurevych, Torsten Zesch:
Proceedings of the 1st 2009 Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources@IJCNLP 2009, Suntec, Singapore, August 7, 2009. Association for Computational Linguistics 2009 [contents] - 2008
- [j4]Christof Müller, Iryna Gurevych, Max Mühlhäuser:
Closing the Vocabulary Gap for Computing Text Similarity and Information Retrieval. Int. J. Semantic Comput. 2(2): 253-272 (2008) - [j3]Iryna Gurevych, Max Mühlhäuser:
Guest Editors' Introduction. Int. J. Semantic Comput. 2(4): 425-429 (2008) - [c25]Torsten Zesch, Christof Müller, Iryna Gurevych:
Using Wiktionary for Computing Semantic Relatedness. AAAI 2008: 861-866 - [c24]Lizhen Qu, Christof Müller, Iryna Gurevych:
Using tag semantic network for keyphrase extraction in blogs. CIKM 2008: 1381-1382 - [c23]Christof Müller, Iryna Gurevych:
Using Wikipedia and Wiktionary in Domain-Specific Information Retrieval. CLEF 2008: 219-226 - [c22]Christof Müller, Iryna Gurevych:
Using Wikipedia and Wiktionary in Domain-Specific Information Retrieval. CLEF (Working Notes) 2008 - [c21]Torsten Zesch, Christof Müller, Iryna Gurevych:
Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary. LREC 2008 - [c20]Lizhen Qu, Cigdem Toprak, Niklas Jakob, Iryna Gurevych:
Sentence Level Subjectivity and Sentiment Analysis Experiments in NTCIR-7 MOAT Challenge. NTCIR 2008 - [c19]Liliana Ferreira
A Comparative Study of Feature Extraction Algorithms in Customer Reviews. ICSC 2008: 144-151 - [c18]Melanie Hartmann, Torsten Zesch, Max Mühlhäuser
Using Similarity Measures for Context-Aware User Interfaces. ICSC 2008: 190-197 - [c17]Konstantina Garoufi, Torsten Zesch, Iryna Gurevych:
Graph-Theoretic Analysis of Collaborative Knowledge Bases in Natural Language Processing. ISWC (Posters & Demos) 2008 - [p4]Max Mühlhäuser, Iryna Gurevych:
Introduction to Ubiquitous Computing. Handbook of Research on Ubiquitous Computing Technology for Real Time Enterprises 2008: 1-20 - [e1]Max Mühlhäuser
Handbook of Research on Ubiquitous Computing Technology for Real Time Enterprises. IGI Global 2008, ISBN 9781599048321 [contents] - 2007
- [j2]Iryna Gurevych, Zhu Liu:
Guest Editors' Introduction. Int. J. Semantic Comput. 1(4): 403-404 (2007) - [j1]Iryna Gurevych, Max Mühlhäuser:
Natural Language Processing for Ambient Intelligence. Künstliche Intell. 21(2): 10-16 (2007) - [c16]Iryna Gurevych, Christof Müller, Torsten Zesch:
What to be? - Electronic Career Guidance Based on Semantic Relatedness. ACL 2007 - [c15]Markus Weimer, Iryna Gurevych, Max Mühlhäuser:
Automatically Assessing the Post Quality in Online Discussions on Software. ACL 2007 - [c14]Jürgen Steimle, Iryna Gurevych, Max Mühlhäuser:
Notetaking in University Courses and its Implications for eLearning Systems. DeLFI 2007: 45-56 - [c13]Saif M. Mohammad, Iryna Gurevych, Graeme Hirst, Torsten Zesch:
Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic Distance. EMNLP-CoNLL 2007: 571-580 - [c12]Torsten Zesch, Iryna Gurevych, Max Mühlhäuser:
Comparing Wikipedia and German Wordnet by Evaluating Semantic Relatedness on Multiple Datasets. HLT-NAACL (Short Papers) 2007: 205-208 - [c11]Christof Müller, Iryna Gurevych, Max Mühlhäuser
Integrating Semantic Knowledge into Text Similarity and Information Retrieval. ICSC 2007: 257-264 - 2006
- [c10]Christof Müller, Iryna Gurevych:
Exploring the Potential of Semantic Relatedness in Information Retrieval. LWA 2006: 126-131 - [p3]Iryna Gurevych, Robert Porzel, Rainer Malaka:
Modeling Domain Knowledge: Know-How and Know-What. SmartKom 2006: 71-84 - [p2]Robert Porzel, Iryna Gurevych, Rainer Malaka:
In Context: Integrating Domain- and Situation-Specific Knowledge. SmartKom 2006: 269-284 - [p1]Iryna Gurevych, Robert Porzel:
Empirical Studies for Intuitive Interaction. SmartKom 2006: 603-615 - 2005
- [c9]Iryna Gurevych, Hendrik Niederlich:
Accessing GermaNet Data and Computing Semantic Relatedness. ACL 2005: 5-8 - [c8]Iryna Gurevych:
Using the Structure of a Conceptual Network in Computing Semantic Relatedness. IJCNLP 2005: 767-778 - [c7]Iryna Gurevych, Hendrik Niederlich:
Computing Semantic Relatedness in German with Revised Information Content Metrics. OntoLex@IJCNLP 2005 - 2004
- [c6]Iryna Gurevych, Michael Strube:
Semantic Similarity Applied to Spoken Dialogue Summarization. COLING 2004 - 2003
- [b1]Iryna Gurevych:
Analyse sprachlicher Anfragen in eingeschränkten Diskursbereichen. University of Duisburg-Essen, Germany, 2003 - [c5]Robert Porzel, Iryna Gurevych:
Contextual Coherence in Natural Language Processing. CONTEXT 2003: 272-285 - [c4]Iryna Gurevych, Rainer Malaka, Robert Porzel, Hans-Peter Zorn:
Semantic Coherence Scoring Using an Ontology. HLT-NAACL 2003 - [c3]Robert Porzel, Iryna Gurevych, Christof Müller:
Ontology-based Contextual Coherence Scoring. SIGDIAL Workshop 2003: 178-186 - 2002
- [c2]Iryna Gurevych, Robert Porzel, Michael Strube:
Annotating the Semantic Consistency of Speech Recognition Hypotheses. SIGDIAL Workshop 2002: 46-49 - [c1]Robert Porzel, Iryna Gurevych:
Towards Context-adaptive Utterance Interpretation. SIGDIAL Workshop 2002: 154-161
Coauthor Index
[c363] [c350] [i212] [c334] [c331] [c325] [c320] [i183] [i176] [i151] [j36] [c316] [c315] [c314] [i147] [i146] [i134] [c296] [c291] [c290] [c286] [c283] [c281] [c280] [i116] [i112] [i104] [i102] [i100] [i99] [c273] [c262] [c258] [c255] [c253] [i86] [i84] [i83] [i77] [i73] [i69] [i64] [i62] [c242] [c234] [i45] [i42]
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