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Dragomir R. Radev
Dragomir Radev
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- affiliation: Yale University, New Haven, CT, USA
- affiliation (former): University of Michigan, Ann Arbor, USA
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2020 – today
- 2024
- [j38]Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan:
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. Trans. Assoc. Comput. Linguistics 12: 1311-1329 (2024) - [c179]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir Radev, Yejin Choi, Noah A. Smith:
A Call for Clarity in Beam Search: How It Works and When It Stops. LREC/COLING 2024: 77-90 - [c178]Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan:
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. EMNLP (Findings) 2024: 16553-16565 - [c177]Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev:
FOLIO: Natural Language Reasoning with First-Order Logic. EMNLP 2024: 22017-22031 - [c176]Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang:
Fair Abstractive Summarization of Diverse Perspectives. NAACL-HLT 2024: 3404-3426 - [c175]Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan:
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. NAACL-HLT (Findings) 2024: 4481-4501 - [c174]Yixin Liu, Kejian Shi, Katherine He, Longtian Ye, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan:
On Learning to Summarize with Large Language Models as References. NAACL-HLT 2024: 8647-8664 - [c173]Nathan A. Chi, Teodor Malchev, Riley Kong, Ryan Chi, Lucas Huang, Ethan A. Chi, R. Thomas McCoy, Dragomir Radev:
ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models. SIGTYPE 2024: 113-119 - [i110]Nathan A. Chi, Teodor Malchev, Riley Kong, Ryan A. Chi, Lucas Huang, Ethan A. Chi, R. Thomas McCoy, Dragomir Radev:
modeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models. CoRR abs/2406.17038 (2024) - [i109]Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan:
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. CoRR abs/2410.09207 (2024) - 2023
- [j37]Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang:
MACSum: Controllable Summarization with Mixed Attributes. Trans. Assoc. Comput. Linguistics 11: 787-803 (2023) - [c172]Fang Wu, Dragomir Radev, Stan Z. Li:
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. AAAI 2023: 5312-5320 - [c171]Irene Li, Aosong Feng, Dragomir Radev, Rex Ying:
HiPool: Modeling Long Documents Using Graph Neural Networks. ACL (2) 2023: 161-171 - [c170]Yilun Zhao, Boyu Mi, Zhenting Qi, Linyong Nan, Minghao Guo
, Arman Cohan
OpenRT: An Open-source Framework for Reasoning Over Tabular Data. ACL (demo) 2023: 336-347 - [c169]Borui Wang, Qiuyuan Huang, Budhaditya Deb, Aaron Halfaker, Liqun Shao, Daniel McDuff, Ahmed Hassan Awadallah, Dragomir Radev, Jianfeng Gao:
Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models. ACL (Findings) 2023: 1762-1773 - [c168]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. ACL (1) 2023: 4140-4170 - [c167]Yilun Zhao, Chen Zhao, Linyong Nan, Zhenting Qi, Wenlin Zhang, Xiangru Tang, Boyu Mi, Dragomir Radev:
RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations. ACL (1) 2023: 6064-6081 - [c166]Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Veselin Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev:
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. ACL (1) 2023: 8733-8759 - [c165]Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, Alham Fikri Aji, David Ifeoluwa Adelani, Khalid Almubarak, M. Saiful Bari
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. ACL (1) 2023: 11682-11703 - [c164]Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah:
On Improving Summarization Factual Consistency from Natural Language Feedback. ACL (1) 2023: 15144-15161 - [c163]Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M. Saiful Bari
Crosslingual Generalization through Multitask Finetuning. ACL (1) 2023: 15991-16111 - [c162]Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir Radev:
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation. BEA@ACL 2023: 29-43 - [c161]Yilun Zhao, Zhenting Qi, Linyong Nan, Lorenzo Jaime Yu Flores, Dragomir Radev:
LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control. EACL 2023: 554-561 - [c160]Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan:
QTSumm: Query-Focused Summarization over Tabular Data. EMNLP 2023: 1157-1172 - [c159]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Shafiq Joty, Yingbo Zhou:
HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution. EMNLP (Findings) 2023: 4437-4451 - [c158]Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev:
Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. EMNLP (Findings) 2023: 14935-14956 - [c157]Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. EMNLP 2023: 16360-16368 - [c156]Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Binding Language Models in Symbolic Languages. ICLR 2023 - [c155]Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao:
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. ICLR 2023 - [c154]Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-Tau Yih, Sida I. Wang, Xi Victoria Lin:
LEVER: Learning to Verify Language-to-Code Generation with Execution. ICML 2023: 26106-26128 - [c153]Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li:
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching. ICML 2023: 37511-37523 - [c152]Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui:
RealTime QA: What's the Answer Right Now? NeurIPS 2023 - [i108]Fang Wu, Siyuan Li, Lirong Wu, Dragomir Radev, Yinghui Jiang, Xurui Jin, Zhangming Niu, Stan Z. Li:
Explaining Graph Neural Networks via Non-parametric Subgraph Matching. CoRR abs/2301.02780 (2023) - [i107]Yilun Zhao, Zhenting Qi, Linyong Nan, Lorenzo Jaime Yu Flores, Dragomir Radev:
LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control. CoRR abs/2302.02962 (2023) - [i106]Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin:
LEVER: Learning to Verify Language-to-Code Generation with Execution. CoRR abs/2302.08468 (2023) - [i105]Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, Edward W. Ayers, Dragomir Radev, Jeremy Avigad:
ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics. CoRR abs/2302.12433 (2023) - [i104]Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. CoRR abs/2303.03608 (2023) - [i103]Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev:
Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations. CoRR abs/2303.18027 (2023) - [i102]Irene Li, Aosong Feng, Dragomir Radev, Rex Ying:
HiPool: Modeling Long Documents Using Graph Neural Networks. CoRR abs/2305.03319 (2023) - [i101]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou:
Answering Complex Questions over Text by Hybrid Question Parsing and Execution. CoRR abs/2305.07789 (2023) - [i100]Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. CoRR abs/2305.12586 (2023) - [i99]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan:
On Learning to Summarize with Large Language Models as References. CoRR abs/2305.14239 (2023) - [i98]Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Xiangru Tang, Yumo Xu, Arman Cohan
QTSumm: A New Benchmark for Query-Focused Table Summarization. CoRR abs/2305.14303 (2023) - [i97]Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Ves Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev:
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. CoRR abs/2306.02349 (2023) - [i96]Yilun Zhao, Chen Zhao, Linyong Nan, Zhenting Qi, Wenlin Zhang, Xiangru Tang, Boyu Mi, Dragomir Radev:
RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations. CoRR abs/2306.14321 (2023) - [i95]Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan:
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. CoRR abs/2309.17446 (2023) - [i94]Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi
Fair Abstractive Summarization of Diverse Perspectives. CoRR abs/2311.07884 (2023) - [i93]Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan:
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. CoRR abs/2311.09184 (2023) - [i92]Rui Yang
MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing. CoRR abs/2311.16588 (2023) - 2022
- [j36]Irene Li
Neural Natural Language Processing for unstructured data in electronic health records: A review. Comput. Sci. Rev. 46: 100511 (2022) - [j35]Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Hailey Schoelkopf, Riley Kong, Xiangru Tang, Mutethia Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev:
FeTaQA: Free-form Table Question Answering. Trans. Assoc. Comput. Linguistics 10: 35-49 (2022) - [c151]Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. ACL (demo) 2022: 93-104 - [c150]Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang:
SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. ACL (1) 2022: 1592-1604 - [c149]Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev:
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. ACL (1) 2022: 1687-1698 - [c148]Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig:
BRIO: Bringing Order to Abstractive Summarization. ACL (1) 2022: 2890-2903 - [c147]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP 2022: 602-631 - [c146]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. EMNLP 2022: 4909-4923 - [c145]Borui Wang, Chengcheng Feng, Arjun Nair, Madelyn Mao, Jai Desai, Asli Celikyilmaz, Haoran Li, Yashar Mehdad, Dragomir Radev:
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension. EMNLP 2022: 4949-4958 - [c144]Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir Radev:
Leveraging Locality in Abstractive Text Summarization. EMNLP 2022: 6081-6093 - [c143]Wojciech Kryscinski, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev:
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization. EMNLP (Findings) 2022: 6536-6558 - [c142]Linyong Nan, Lorenzo Jaime Yu Flores, Yilun Zhao, Yixin Liu, Luke Benson, Weijin Zou, Dragomir Radev:
R2D2: Robust Data-to-Text with Replacement Detection. EMNLP 2022: 6903-6917 - [c141]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou:
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. EMNLP 2022: 8858-8869 - [c140]Yilun Zhao, Linyong Nan, Zhenting Qi, Rui Zhang, Dragomir Radev:
ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples. EMNLP 2022: 9006-9018 - [c139]Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers
Data Governance in the Age of Large-Scale Data-Driven Language Technology. FAccT 2022: 2206-2222 - [c138]Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev:
Surfer100: Generating Surveys From Web Resources, Wikipedia-style. LREC 2022: 5388-5392 - [c137]Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev:
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning. NAACL-HLT 2022: 5657-5668 - [c136]Xiangru Tang, Alexander R. Fabbri, Haoran Li, Ziming Mao, Griffin Adams, Borui Wang, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev:
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. NAACL-HLT 2022: 5680-5692 - [i91]Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir R. Radev:
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation. CoRR abs/2201.02312 (2022) - [i90]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR abs/2201.05966 (2022) - [i89]Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig:
BRIO: Bringing Order to Abstractive Summarization. CoRR abs/2203.16804 (2022) - [i88]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Beam Decoding with Controlled Patience. CoRR abs/2204.05424 (2022) - [i87]Irene Li, Keen You, Xiangru Tang, Yujie Qiao, Lucas Huang, Chiachun Hsieh, Benjamin Rosand, Dragomir R. Radev:
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts. CoRR abs/2204.06604 (2022) - [i86]Fang Wu, Qiang Zhang, Dragomir R. Radev, Yuyang Wang, Xurui Jin, Yinghui Jiang, Zhangming Niu, Stan Z. Li:
Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding. CoRR abs/2204.08663 (2022) - [i85]Fang Wu, Siyuan Li, Lirong Wu, Dragomir R. Radev, Qiang Zhang, Stan Z. Li:
Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions. CoRR abs/2205.07266 (2022) - [i84]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. CoRR abs/2205.09273 (2022) - [i83]Linyong Nan, Lorenzo Jaime Yu Flores, Yilun Zhao, Yixin Liu, Luke Benson, Weijin Zou, Dragomir R. Radev:
R2D2: Robust Data-to-Text with Replacement Detection. CoRR abs/2205.12467 (2022) - [i82]Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev:
Leveraging Locality in Abstractive Text Summarization. CoRR abs/2205.12476 (2022) - [i81]Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir R. Radev, Jianfeng Gao:
Learning from Self-Sampled Correct and Partially-Correct Programs. CoRR abs/2205.14318 (2022) - [i80]Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat
Data Governance in the Age of Large-Scale Data-Driven Language Technology. CoRR abs/2206.03216 (2022) - [i79]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i78]Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu
RealTime QA: What's the Answer Right Now? CoRR abs/2207.13332 (2022) - [i77]Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq R. Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, Dragomir Radev:
FOLIO: Natural Language Reasoning with First-Order Logic. CoRR abs/2209.00840 (2022) - [i76]Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Binding Language Models in Symbolic Languages. CoRR abs/2210.02875 (2022) - [i75]Yilun Zhao, Linyong Nan, Zhenting Qi, Rui Zhang, Dragomir Radev:
ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples. CoRR abs/2210.12374 (2022) - [i74]Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M. Saiful Bari, Sheng Shen, Zheng Xin Yong, Hailey Schoelkopf, Xiangru Tang, Dragomir Radev, Alham Fikri Aji, Khalid Almubarak, Samuel Albanie, Zaid Alyafeai, Albert Webson, Edward Raff, Colin Raffel:
Crosslingual Generalization through Multitask Finetuning. CoRR abs/2211.01786 (2022) - [i73]Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang:
MACSum: Controllable Summarization with Mixed Attributes. CoRR abs/2211.05041 (2022) - [i72]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou:
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. CoRR abs/2211.05165 (2022) - [i71]Divyansh Agarwal, Alexander R. Fabbri, Simeng Han, Wojciech Kryscinski, Faisal Ladhak, Bryan Li, Kathleen R. McKeown, Dragomir Radev, Tianyi Zhang, Sam Wiseman:
CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing. CoRR abs/2211.05886 (2022) - [i70]Zhangir Azerbayev, Ansong Ni, Hailey Schoelkopf, Dragomir Radev:
Explicit Knowledge Transfer for Weakly-Supervised Code Generation. CoRR abs/2211.16740 (2022) - [i69]Fang Wu, Tao Yu, Dragomir Radev, Jinbo Xu:
When Geometric Deep Learning Meets Pretrained Protein Language Models. CoRR abs/2212.03447 (2022) - [i68]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. CoRR abs/2212.07981 (2022) - [i67]Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, Alham Fikri Aji, David Ifeoluwa Adelani, Khalid Almubarak, M. Saiful Bari, Lintang Sutawika, Jungo Kasai, Ahmed Baruwa, Genta Indra Winata, Stella Biderman, Dragomir Radev, Vassilina Nikoulina:
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. CoRR abs/2212.09535 (2022) - [i66]Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah:
On Improving Summarization Factual Consistency from Natural Language Feedback. CoRR abs/2212.09968 (2022) - [i65]Borui Wang, Chengcheng Feng, Arjun Nair, Madelyn Mao, Jai Desai, Asli Celikyilmaz, Haoran Li, Yashar Mehdad, Dragomir Radev:
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension. CoRR abs/2212.12652 (2022) - 2021
- [j34]Andre Esteva
COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization. npj Digit. Medicine 4 (2021) - [j33]Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SummEval: Re-evaluating Summarization Evaluation. Trans. Assoc. Comput. Linguistics 9: 391-409 (2021) - [c135]Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir R. Radev:
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders. ACL/IJCNLP (2) 2021: 1005-1011 - [c134]Wenpeng Yin
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference. ACL/IJCNLP (Findings) 2021: 4913-4922 - [c133]Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev:
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. ACL/IJCNLP (1) 2021: 6866-6880 - [c132]Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, Dragomir R. Radev:
SummerTime: Text Summarization Toolkit for Non-experts. EMNLP (Demos) 2021: 329-338 - [c131]Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev:
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. EMNLP (Findings) 2021: 4426-4433 - [c130]Heather Lent, Semih Yavuz, Tao Yu, Tong Niu, Yingbo Zhou, Dragomir Radev, Xi Victoria Lin:
Testing Cross-Database Semantic Parsers With Canonical Utterances. Eval4NLP 2021: 73-83 - [c129]Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong:
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. ICLR 2021 - [c128]Linyong Nan, Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
DART: Open-Domain Structured Data Record to Text Generation. NAACL-HLT 2021: 432-447 - [c127]Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad:
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. NAACL-HLT 2021: 704-717 - [c126]Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev:
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. NAACL-HLT 2021: 5905-5921 - [c125]Irene Li, Prithviraj Sen, Huaiyu Zhu, Yunyao Li, Dragomir R. Radev:
Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting. RepL4NLP@ACL-IJCNLP 2021: 1-7 - [i64]Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev:
FeTaQA: Free-form Table Question Answering. CoRR abs/2104.00369 (2021) - [i63]Ming Zhong, Da Yin, Tao Yu
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. CoRR abs/2104.05938 (2021) - [i62]Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir R. Radev:
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders. CoRR abs/2105.03505 (2021) - [i61]Wojciech Kryscinski, Nazneen Fatema Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir R. Radev:
BookSum: A Collection of Datasets for Long-form Narrative Summarization. CoRR abs/2105.08209 (2021) - [i60]Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev:
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. CoRR abs/2106.00829 (2021) - [i59]Wenpeng Yin, Dragomir R. Radev, Caiming Xiong:
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference. CoRR abs/2106.09449 (2021) - [i58]Irene Li, Jessica Pan, Jeremy Goldwasser, Neha Verma, Wai Pan Wong, Muhammed Yavuz Nuzumlali, Benjamin Rosand, Yixin Li, Matthew Zhang, David Chang, Richard Andrew Taylor, Harlan M. Krumholz, Dragomir R. Radev:
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review. CoRR abs/2107.02975 (2021) - [i57]Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu
SummerTime: Text Summarization Toolkit for Non-experts. CoRR abs/2108.12738 (2021) - [i56]Yusen Zhang, Ansong Ni, Tao Yu
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. CoRR abs/2109.04609 (2021) - [i55]Irene Li, Vanessa Yan, Dragomir R. Radev:
Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains. CoRR abs/2109.08722 (2021) - [i54]Xiangru Tang, Alexander R. Fabbri, Ziming Mao, Griffin Adams, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev:
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. CoRR abs/2109.09195 (2021) - [i53]Fang Wu, Qiang Zhang, Dragomir R. Radev, Jiyu Cui, Wen Zhang, Huabin Xing, Ningyu Zhang, Huajun Chen:
3D-Transformer: Molecular Representation with Transformer in 3D Space. CoRR abs/2110.01191 (2021) - [i52]Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev:
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. CoRR abs/2110.08168 (2021) - [i51]Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang:
SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. CoRR abs/2110.10150 (2021) - [i50]Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir R. Radev:
Surfer100: Generating Surveys From Web Resources on Wikipedia-style. CoRR abs/2112.06377 (2021) - [i49]Swapnil Hingmire, Irene Li, Rena Kawamura, Benjamin Chen, Alexander R. Fabbri, Xiangru Tang, Yixin Liu, Thomas George, Tammy Liao, Wai Pan Wong, Vanessa Yan, Richard Zhou, Girish K. Palshikar, Dragomir R. Radev:
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. CoRR abs/2112.08578 (2021) - [i48]Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev:
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning. CoRR abs/2112.08713 (2021) - 2020
- [j32]MeiXing Dong, Rada Mihalcea, Dragomir R. Radev:
Extending sparse text with induced domain-specific lexicons and embeddings: A case study on predicting donations. Comput. Speech Lang. 59: 157-168 (2020) - [c124]Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir R. Radev:
ESPRIT: Explaining Solutions to Physical Reasoning Tasks. ACL 2020: 7906-7917 - [c123]Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev:
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. COLING 2020: 1147-1157 - [c122]Wenpeng Yin
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. EMNLP (1) 2020: 8229-8239 - [i47]Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev:
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. CoRR abs/2004.10610 (2020) - [i46]Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir R. Radev:
ESPRIT: Explaining Solutions to Physical Reasoning Tasks. CoRR abs/2005.00730 (2020) - [i45]Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir R. Radev, Richard Socher:
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization. CoRR abs/2006.09595 (2020) - [i44]Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Nazneen Fatema Rajani, Xiangru Tang, Aadit Vyas, Neha Verma
DART: Open-Domain Structured Data Record to Text Generation. CoRR abs/2007.02871 (2020) - [i43]Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SummEval: Re-evaluating Summarization Evaluation. CoRR abs/2007.12626 (2020) - [i42]Tao Yu
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. CoRR abs/2009.13845 (2020) - [i41]Wenpeng Yin, Nazneen Fatema Rajani, Dragomir R. Radev, Richard Socher, Caiming Xiong:
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. CoRR abs/2010.02584 (2020) - [i40]Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad:
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. CoRR abs/2010.12836 (2020)
2010 – 2019
- 2019
- [c121]Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev:
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. AAAI 2019: 6674-6681 - [c120]Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev:
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. AAAI 2019: 7386-7393 - [c119]Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev:
Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. ACL (1) 2019: 1074-1084 - [c118]Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander R. Fabbri, William Hu, Neha Verma
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations. ACL (1) 2019: 3173-3179 - [c117]Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SParC: Cross-Domain Semantic Parsing in Context. ACL (1) 2019: 4511-4523 - [c116]Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. EMNLP/IJCNLP (1) 2019: 1962-1979 - [c115]Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. EMNLP/IJCNLP (1) 2019: 5337-5348 - [c114]Douglas W. Oard, Marine Carpuat, Petra Galuscáková, Joseph Barrow, Suraj Nair, Xing Niu, Han-Chin Shing, Weijia Xu, Elena Zotkina, Kathleen R. McKeown, Smaranda Muresan, Efsun Selin Kayi, Ramy Eskander, Chris Kedzie, Yan Virin, Dragomir R. Radev, Rui Zhang, Mark J. F. Gales, Anton Ragni, Kenneth Heafield:
Surprise Languages: Rapid-Response Cross-Language IR. EVIA@NTCIR 2019 - [c113]Jungo Kasai, Dan Friedman, Robert Frank
Syntax-aware Neural Semantic Role Labeling with Supertags. NAACL-HLT (1) 2019: 701-709 - [c112]Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan:
Overview and Results: CL-SciSumm Shared Task 2019. BIRNDL@SIGIR 2019: 153-166 - [c111]Muthu Kumar Chandrasekaran, Philipp Mayr, Michihiro Yasunaga, Dayne Freitag, Dragomir R. Radev, Min-Yen Kan:
Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). SIGIR 2019: 1441-1443 - [i39]Jungo Kasai, Dan Friedman, Robert Frank, Dragomir R. Radev, Owen Rambow:
Syntax-aware Neural Semantic Role Labeling with Supertags. CoRR abs/1903.05260 (2019) - [i38]Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev:
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. CoRR abs/1906.01749 (2019) - [i37]Tao Yu
SParC: Cross-Domain Semantic Parsing in Context. CoRR abs/1906.02285 (2019) - [i36]Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander R. Fabbri, Neha Verma, William Hu, Dragomir R. Radev:
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations. CoRR abs/1906.03492 (2019) - [i35]Youngnam Lee, Youngduck Choi, Junghyun Cho, Alexander R. Fabbri, Hyunbin Loh, Chanyou Hwang, Yongku Lee, Sang-Wook Kim, Dragomir R. Radev:
Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess. CoRR abs/1906.10910 (2019) - [i34]Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir R. Radev, Dayne Freitag, Min-Yen Kan:
Overview and Results: CL-SciSumm Shared Task 2019. CoRR abs/1907.09854 (2019) - [i33]Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir R. Radev, Min-Yen Kan:
The CL-SciSumm Shared Task 2018: Results and Key Insights. CoRR abs/1909.00764 (2019) - [i32]Rui Zhang, Tao Yu
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. CoRR abs/1909.00786 (2019) - [i31]Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev:
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. CoRR abs/1909.01716 (2019) - [i30]Tao Yu
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. CoRR abs/1909.05378 (2019) - [i29]Irene Li, Michihiro Yasunaga, Muhammed Yavuz Nuzumlali, Cesar Caraballo, Shiwani Mahajan, Harlan M. Krumholz, Dragomir R. Radev:
A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation. CoRR abs/1910.14076 (2019) - 2018
- [c110]Lajanugen Logeswaran, Honglak Lee, Dragomir R. Radev:
Sentence Ordering and Coherence Modeling using Recurrent Neural Networks. AAAI 2018: 5285-5292 - [c109]Rui Zhang, Honglak Lee, Lazaros Polymenakos, Dragomir R. Radev:
Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNs. AAAI 2018: 5690-5697 - [c108]Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir R. Radev:
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. ACL (2) 2018: 102-107 - [c107]Catherine Finegan-Dollak
Improving Text-to-SQL Evaluation Methodology. ACL (1) 2018: 351-360 - [c106]Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev:
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. ACL (1) 2018: 611-620 - [c105]Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, Dragomir R. Radev:
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task. EMNLP 2018: 1653-1663 - [c104]Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir R. Radev:
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. EMNLP 2018: 3911-3921 - [c103]Tao Yu, Zifan Li, Zilin Zhang, Rui Zhang, Dragomir R. Radev:
TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation. NAACL-HLT (2) 2018: 588-594 - [c102]Michihiro Yasunaga, Jungo Kasai, Dragomir R. Radev:
Robust Multilingual Part-of-Speech Tagging via Adversarial Training. NAACL-HLT 2018: 976-986 - [c101]Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir R. Radev, Min-Yen Kan:
The CL-SciSumm Shared Task 2018: Results and Key Insights. BIRNDL@SIGIR 2018: 74-83 - [i28]Tao Yu
TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation. CoRR abs/1804.09769 (2018) - [i27]Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev:
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. CoRR abs/1805.04617 (2018) - [i26]Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir R. Radev:
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. CoRR abs/1805.04893 (2018) - [i25]Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, Dragomir R. Radev:
Improving Text-to-SQL Evaluation Methodology. CoRR abs/1806.09029 (2018) - [i24]Javid Dadashkarimi, Alexander R. Fabbri, Sekhar Tatikonda, Dragomir R. Radev:
Zero-shot Transfer Learning for Semantic Parsing. CoRR abs/1808.09889 (2018) - [i23]Tao Yu
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. CoRR abs/1809.08887 (2018) - [i22]Tao Yu
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task. CoRR abs/1810.05237 (2018) - [i21]Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev:
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. CoRR abs/1811.12181 (2018) - 2017
- [j31]Rahul Jha, Amjad Abu-Jbara, Vahed Qazvinian, Dragomir R. Radev:
NLP-driven citation analysis for scientometrics. Nat. Lang. Eng. 23(1): 93-130 (2017) - [c100]Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek
Graph-based Neural Multi-Document Summarization. CoNLL 2017: 452-462 - [i20]Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, Dragomir R. Radev:
Graph-based Neural Multi-Document Summarization. CoRR abs/1706.06681 (2017) - [i19]Rui Zhang, Honglak Lee, Lazaros Polymenakos, Dragomir R. Radev:
Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs. CoRR abs/1709.04005 (2017) - [i18]Michihiro Yasunaga, Jungo Kasai, Dragomir R. Radev:
Robust Multilingual Part-of-Speech Tagging via Adversarial Training. CoRR abs/1711.04903 (2017) - 2016
- [j30]Dragomir R. Radev, Mark Thomas Joseph, Bryan R. Gibson, Pradeep Muthukrishnan:
A bibliometric and network analysis of the field of computational linguistics. J. Assoc. Inf. Sci. Technol. 67(3): 683-706 (2016) - [j29]Catherine Finegan-Dollak
Sentence simplification, compression, and disaggregation for summarization of sophisticated documents. J. Assoc. Inf. Sci. Technol. 67(10): 2437-2453 (2016) - [j28]Kathy McKeown, Hal Daumé III, Snigdha Chaturvedi, John Paparrizos
Predicting the impact of scientific concepts using full-text features. J. Assoc. Inf. Sci. Technol. 67(11): 2684-2696 (2016) - [c99]Catherine Finegan-Dollak
Effects of Creativity and Cluster Tightness on Short Text Clustering Performance. ACL (1) 2016 - [c98]Nikita Bhutani, H. V. Jagadish, Dragomir R. Radev:
Nested Propositions in Open Information Extraction. EMNLP 2016: 55-64 - [c97]Arzucan Özgür, Junguk Hur, Zuoshuang Xiang, Edison Ong, Dragomir R. Radev, Yongqun He:
Ignet: A Centrality and INO-based Web System for Analyzing and Visualizing Literature-mined Networks. ICBO/BioCreative 2016 - [c96]Yashar Mehdad, Amanda Stent, Kapil Thadani, Dragomir R. Radev, Youssef Billawala, Karolina Buchner:
Extractive Summarization under Strict Length Constraints. LREC 2016 - [c95]Saziye Betül Özates, Arzucan Özgür, Dragomir R. Radev:
Sentence Similarity based on Dependency Tree Kernels for Multi-document Summarization. LREC 2016 - [c94]Dragomir R. Radev, Amanda Stent, Joel R. Tetreault, Aasish Pappu, Aikaterini Iliakopoulou, Agustin Chanfreau, Paloma de Juan, Jordi Vallmitjana, Alejandro Jaimes, Rahul Jha, Robert Mankoff:
Humor in Collective Discourse: Unsupervised Funniness Detection in the New Yorker Cartoon Caption Contest. LREC 2016 - [c93]William Yang Wang, Yashar Mehdad, Dragomir R. Radev, Amanda Stent:
A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization. HLT-NAACL 2016: 58-68 - [c92]Rui Zhang, Honglak Lee, Dragomir R. Radev:
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents. HLT-NAACL 2016: 1512-1521 - [i17]Reed Coke, Ben King, Dragomir R. Radev:
Classifying Syntactic Regularities for Hundreds of Languages. CoRR abs/1603.08016 (2016) - [i16]Rui Zhang, Honglak Lee, Dragomir R. Radev:
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents. CoRR abs/1611.02361 (2016) - [i15]Lajanugen Logeswaran, Honglak Lee, Dragomir R. Radev:
Sentence Ordering using Recurrent Neural Networks. CoRR abs/1611.02654 (2016) - 2015
- [j27]Vivi Nastase, Rada Mihalcea, Dragomir R. Radev:
A survey of graphs in natural language processing. Nat. Lang. Eng. 21(5): 665-698 (2015) - [c91]Rahul Jha, Reed Coke, Dragomir R. Radev:
Surveyor: A System for Generating Coherent Survey Articles for Scientific Topics. AAAI 2015: 2167-2173 - [c90]Rahul Jha, Catherine Finegan-Dollak
Content Models for Survey Generation: A Factoid-Based Evaluation. ACL (1) 2015: 441-450 - [i14]Dragomir R. Radev, Amanda Stent, Joel R. Tetreault, Aasish Pappu, Aikaterini Iliakopoulou, Agustin Chanfreau, Paloma de Juan, Jordi Vallmitjana, Alejandro Jaimes, Rahul Jha, Robert Mankoff:
Humor in Collective Discourse: Unsupervised Funniness Detection in the New Yorker Cartoon Caption Contest. CoRR abs/1506.08126 (2015) - 2014
- [j26]Ahmed Hassan Awadallah, Amjad Abu-Jbara, Wanchen Lu, Dragomir R. Radev:
A Random Walk-Based Model for Identifying Semantic Orientation. Comput. Linguistics 40(3): 539-562 (2014) - [j25]Ben King, Rahul Jha, Dragomir R. Radev:
Heterogeneous Networks and Their Applications: Scientometrics, Name Disambiguation, and Topic Modeling. Trans. Assoc. Comput. Linguistics 2: 1-14 (2014) - [c89]Ben King, Dragomir R. Radev, Steven P. Abney:
Experiments in Sentence Language Identification with Groups of Similar Languages. VarDial@COLING 2014: 146-154 - [i13]Vahed Qazvinian, Dragomir R. Radev, Saif M. Mohammad, Bonnie J. Dorr, David M. Zajic, Michael Whidby, Taesun Moon:
Generating Extractive Summaries of Scientific Paradigms. CoRR abs/1402.0556 (2014) - 2013
- [b1]Dragomir R. Radev:
Puzzles in Logic, Languages and Computation - The Red Book. Springer 2013, ISBN 978-3-642-34377-3, pp. 1-173 - [j24]Vahed Qazvinian, Dragomir R. Radev, Saif M. Mohammad, Bonnie J. Dorr
Generating Extractive Summaries of Scientific Paradigms. J. Artif. Intell. Res. 46: 165-201 (2013) - [j23]Dragomir R. Radev, Pradeep Muthukrishnan, Vahed Qazvinian, Amjad Abu-Jbara:
The ACL anthology network corpus. Lang. Resour. Evaluation 47(4): 919-944 (2013) - [c88]Ben King, Rahul Jha, Dragomir R. Radev, Robert Mankoff:
Random Walk Factoid Annotation for Collective Discourse. ACL (2) 2013: 249-254 - [c87]Rahul Jha, Amjad Abu-Jbara, Dragomir R. Radev:
A System for Summarizing Scientific Topics Starting from Keywords. ACL (2) 2013: 572-577 - [c86]Amjad Abu-Jbara, Ben King, Mona T. Diab, Dragomir R. Radev:
Identifying Opinion Subgroups in Arabic Online Discussions. ACL (2) 2013: 829-835 - [c85]Amjad Abu-Jbara, Rahul Jha, Eric Morley, Dragomir R. Radev:
Experimental Results on the Native Language Identification Shared Task. BEA@NAACL-HLT 2013: 82-88 - [c84]Amjad Abu-Jbara, Jefferson Ezra, Dragomir R. Radev:
Purpose and Polarity of Citation: Towards NLP-based Bibliometrics. HLT-NAACL 2013: 596-606 - 2012
- [c83]Dragomir R. Radev, Amjad Abu-Jbara:
Rediscovering ACL Discoveries Through the Lens of ACL Anthology Network Citing Sentences. Discoveries@ACL 2012: 1-12 - [c82]Amjad Abu-Jbara, Dragomir R. Radev:
Subgroup Detector: A System for Detecting Subgroups in Online Discussions. ACL (System Demonstrations) 2012: 133-138 - [c81]Amjad Abu-Jbara, Pradeep Dasigi, Mona T. Diab, Dragomir R. Radev:
Subgroup Detection in Ideological Discussions. ACL (1) 2012: 399-409 - [c80]Ahmed Hassan Awadallah, Amjad Abu-Jbara, Dragomir R. Radev:
Detecting Subgroups in Online Discussions by Modeling Positive and Negative Relations among Participants. EMNLP-CoNLL 2012: 59-70 - [c79]Amjad Abu-Jbara, Ahmed Hassan Awadallah, Dragomir R. Radev:
AttitudeMiner: Mining Attitude from Online Discussions. HLT-NAACL 2012: 33-36 - [c78]Amjad Abu-Jbara, Dragomir R. Radev:
Reference Scope Identification in Citing Sentences. HLT-NAACL 2012: 80-90 - [c77]Amjad Abu-Jbara, Dragomir R. Radev:
UMichigan: A Conditional Random Field Model for Resolving the Scope of Negation. *SEM@NAACL-HLT 2012: 328-334 - [c76]Ahmed Hassan Awadallah, Amjad Abu-Jbara, Dragomir R. Radev:
Extracting Signed Social Networks from Text. TextGraphs@ACL 2012: 6-14 - [i12]Vahed Qazvinian, Dragomir R. Radev:
A Computational Analysis of Collective Discourse. CoRR abs/1204.3498 (2012) - 2011
- [j22]Arzucan Özgür, Zuoshuang Xiang, Dragomir R. Radev, Yongqun He:
Mining of vaccine-associated IFN-γ gene interaction networks using the Vaccine Ontology. J. Biomed. Semant. 2(S-2): S8 (2011) - [j21]Yoshinobu Kano, Jari Björne, Filip Ginter, Tapio Salakoski, Ekaterina Buyko, Udo Hahn, K. Bretonnel Cohen, Karin Verspoor
U-Compare bio-event meta-service: compatible BioNLP event extraction services. BMC Bioinform. 12: 481 (2011) - [c75]Vahed Qazvinian, Dragomir R. Radev:
Exploiting Phase Transition in Latent Networks for Clustering. AAAI 2011: 908-913 - [c74]Amjad Abu-Jbara, Dragomir R. Radev:
Clairlib: A Toolkit for Natural Language Processing, Information Retrieval, and Network Analysis. ACL (System Demonstrations) 2011: 121-126 - [c73]Amjad Abu-Jbara, Dragomir R. Radev:
Coherent Citation-Based Summarization of Scientific Papers. ACL 2011: 500-509 - [c72]Ahmed Hassan Awadallah, Amjad Abu-Jbara, Rahul Jha, Dragomir R. Radev:
Identifying the Semantic Orientation of Foreign Words. ACL (2) 2011: 592-597 - [c71]Vahed Qazvinian, Dragomir R. Radev:
Learning From Collective Human Behavior to Introduce Diversity in Lexical Choice. ACL 2011: 1098-1108 - [c70]Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev, Qiaozhu Mei:
Rumor has it: Identifying Misinformation in Microblogs. EMNLP 2011: 1589-1599 - [c69]Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu Mei:
Simultaneous Similarity Learning and Feature-Weight Learning for Document Clustering. Graph-based Methods for Natural Language Processing 2011: 42-50 - [i11]Madhav Krishna, Ahmed Hassan Awadallah, Yang Liu, Dragomir R. Radev:
The effect of linguistic constraints on the large scale organization of language. CoRR abs/1102.2831 (2011) - [i10]Amruta Joshi, Junghoo Cho, Dragomir R. Radev, Ahmed Hassan Awadallah:
Improving Image Search based on User Created Communities. CoRR abs/1102.5458 (2011) - [i9]Günes Erkan, Dragomir R. Radev:
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization. CoRR abs/1109.2128 (2011) - 2010
- [c68]Ahmed Hassan Awadallah, Dragomir R. Radev:
Identifying Text Polarity Using Random Walks. ACL 2010: 395-403 - [c67]Vahed Qazvinian, Dragomir R. Radev:
Identifying Non-Explicit Citing Sentences for Citation-Based Summarization. ACL 2010: 555-564 - [c66]Vahed Qazvinian, Dragomir R. Radev, Arzucan Özgür:
Citation Summarization Through Keyphrase Extraction. COLING 2010: 895-903 - [c65]Ahmed Hassan Awadallah, Vahed Qazvinian, Dragomir R. Radev:
What's with the Attitude? Identifying Sentences with Attitude in Online Discussions. EMNLP 2010: 1245-1255 - [c64]Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu Mei:
Edge Weight Regularization over Multiple Graphs for Similarity Learning. ICDM 2010: 374-383 - [c63]Qiaozhu Mei, Jian Guo, Dragomir R. Radev:
DivRank: the interplay of prestige and diversity in information networks. KDD 2010: 1009-1018
2000 – 2009
- 2009
- [j20]Jahna Otterbacher
Biased LexRank: Passage retrieval using random walks with question-based priors. Inf. Process. Manag. 45(1): 42-54 (2009) - [j19]Aleks Aris, Ben Shneiderman, Vahed Qazvinian, Dragomir R. Radev:
Visual overviews for discovering key papers and influences across research fronts. J. Assoc. Inf. Sci. Technol. 60(11): 2219-2228 (2009) - [j18]V. Glenn Tarcea, Terry E. Weymouth, Alexander S. Ade, Aaron V. Bookvich, Jing Gao, Vasudeva Mahavisno, Zach Wright, Adriane Chapman, Magesh Jayapandian, Arzucan Özgür
Michigan molecular interactions r2: from interacting proteins to pathways. Nucleic Acids Res. 37(Database-Issue): 642-646 (2009) - [c62]Arzucan Özgür, Dragomir R. Radev:
Supervised Classification for Extracting Biomedical Events. BioNLP@HLT-NAACL (Shared Task) 2009: 111-114 - [c61]Arzucan Özgür, Dragomir R. Radev:
Detecting Speculations and their Scopes in Scientific Text. EMNLP 2009: 1398-1407 - [c60]Ahmed Hassan Awadallah, Dragomir R. Radev, Junghoo Cho, Amruta Joshi:
Content Based Recommendation and Summarization in the Blogosphere. ICWSM 2009 - [c59]Vahed Qazvinian, Dragomir R. Radev:
The Evolution of Scientific Paper Title Networks. ICWSM 2009 - [c58]Saif M. Mohammad, Bonnie J. Dorr, Melissa Egan, Ahmed Hassan Awadallah, Pradeep Muthukrishnan, Vahed Qazvinian, Dragomir R. Radev, David M. Zajic:
Using Citations to Generate surveys of Scientific Paradigms. HLT-NAACL 2009: 584-592 - 2008
- [j17]Marie desJardins, Matthew E. Gaston, Dragomir R. Radev:
Introduction to the Special Issue on AI and Networks. AI Mag. 29(3): 11-15 (2008) - [j16]Dragomir R. Radev, Rada Mihalcea:
Networks and Natural Language Processing. AI Mag. 29(3): 16-28 (2008) - [j15]Dragomir R. Radev, Mirella Lapata:
Natural Language Processing and the Web. IEEE Intell. Syst. 23(5): 16-17 (2008) - [j14]Jahna Otterbacher
Hierarchical summarization for delivering information to mobile devices. Inf. Process. Manag. 44(2): 931-947 (2008) - [j13]Aaron Elkiss, Siwei Shen, Anthony Fader, Günes Erkan, David J. States, Dragomir R. Radev:
Blind men and elephants: What do citation summaries tell us about a research article? J. Assoc. Inf. Sci. Technol. 59(1): 51-62 (2008) - [j12]Jahna Otterbacher
Exploring fact-focused relevance and novelty detection. J. Documentation 64(4): 496-510 (2008) - [c57]Ahmed Hassan Awadallah, Anthony Fader, Michael H. Crespin, Kevin M. Quinn, Burt L. Monroe, Michael Colaresi, Dragomir R. Radev:
Tracking the Dynamic Evolution of Participants Salience in a Discussion. COLING 2008: 313-320 - [c56]Pradeep Muthukrishnan, Joshua Gerrish, Dragomir R. Radev:
Detecting Multiple Facets of an Event using Graph-Based Unsupervised Methods. COLING 2008: 609-616 - [c55]Vahed Qazvinian, Dragomir R. Radev:
Scientific Paper Summarization Using Citation Summary Networks. COLING 2008: 689-696 - [c54]Arzucan Özgür
Identifying gene-disease associations using centrality on a literature mined gene-interaction network. ISMB 2008: 277-285 - [c53]Steven Bird, Robert Dale, Bonnie J. Dorr, Bryan R. Gibson, Mark Thomas Joseph, Min-Yen Kan, Dongwon Lee
The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics. LREC 2008 - [c52]Jahna Otterbacher, Dragomir R. Radev:
Modeling Document Dynamics: an Evolutionary Approach. LREC 2008 - [i8]Vahed Qazvinian, Dragomir R. Radev:
Scientific Paper Summarization Using Citation Summary Networks. CoRR abs/0807.1560 (2008) - 2007
- [c51]Günes Erkan, Arzucan Özgür, Dragomir R. Radev:
Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency Parsing. EMNLP-CoNLL 2007: 228-237 - [c50]Anthony Fader, Dragomir R. Radev, Michael H. Crespin, Burt L. Monroe, Kevin M. Quinn, Michael Colaresi:
MavenRank: Identifying Influential Members of the US Senate Using Lexical Centrality. EMNLP-CoNLL 2007: 658-666 - [i7]Dragomir R. Radev, Mark Hodges, Anthony Fader, Mark Thomas Joseph, Joshua Gerrish, Mark Schaller, Jonathan dePeri, Bryan R. Gibson:
CLAIRLIB Documentation v1.03. CoRR abs/0712.3298 (2007) - 2006
- [c49]Dragomir R. Radev, Günes Erkan, Anthony Fader, Patrick Jordan, Siwei Shen, James P. Sweeney:
LexNet: A Graphical Environment for Graph-Based NLP. ACL 2006 - [c48]Siwei Shen, Dragomir R. Radev, Agam Patel, Günes Erkan:
Adding Syntax to Dynamic Programming for Aligning Comparable Texts for the Generation of Paraphrases. ACL 2006 - [c47]Agam Patel, Dragomir R. Radev:
Lexical similarity can distinguish between automatic and manual translations. LREC 2006: 1230-1235 - [c46]Rada Mihalcea, Dragomir R. Radev:
Graph-based Algorithms for Natural Language Processing and Information Retrieval. HLT-NAACL 2006 - [c45]Jahna Otterbacher, Dragomir R. Radev, Omer Kareem:
News to go: hierarchical text summarization for mobile devices. SIGIR 2006: 589-596 - [c44]Jahna Otterbacher, Dragomir R. Radev:
Fact-focused novelty detection: a feasibility study. SIGIR 2006: 687-688 - [c43]Dragomir R. Radev:
Graph-Based Methods for Language Processing and Information Retrieval. SLT 2006: 4 - 2005
- [j11]Dragomir R. Radev, Jahna Otterbacher
NewsInEssence: summarizing online news topics. Commun. ACM 48(10): 95-98 (2005) - [j10]Wai Lam, Ki Chan, Dragomir R. Radev, Horacio Saggion
Context-based generic cross-lingual retrieval of documents and automated summaries. J. Assoc. Inf. Sci. Technol. 56(2): 129-139 (2005) - [j9]Dragomir R. Radev, Weiguo Fan
Probabilistic question answering on the Web. J. Assoc. Inf. Sci. Technol. 56(6): 571-583 (2005) - [c42]Jahna Otterbacher, Günes Erkan, Dragomir R. Radev:
Using Random Walks for Question-focused Sentence Retrieval. HLT/EMNLP 2005: 915-922 - [c41]Dragomir R. Radev, Omer Kareem, Jahna Otterbacher
Hierarchical text summarization for WAP-enabled mobile devices. SIGIR 2005: 679 - 2004
- [j8]Dragomir R. Radev, Hongyan Jing, Magorzata Sty, Daniel Tam:
Centroid-based summarization of multiple documents. Inf. Process. Manag. 40(6): 919-938 (2004) - [j7]Günes Erkan, Dragomir R. Radev:
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization. J. Artif. Intell. Res. 22: 457-479 (2004) - [c40]Frederick A. Peck, Suresh K. Bhavnani, Marilyn H. Blackmon, Dragomir R. Radev:
Exploring the use of natural language systems for fact identification: Towards the automatic construction of healthcare portals. ASIST 2004: 327-338 - [c39]Jahna Otterbacher, Dragomir R. Radev:
Comparing Semantically Related Sentences: The Case of Paraphrase Versus Subsumption. COLING 2004 - [c38]Günes Erkan, Dragomir R. Radev:
LexPageRank: Prestige in Multi-Document Text Summarization. EMNLP 2004: 365-371 - [c37]Zhu Zhang, Dragomir R. Radev:
Combining Labeled and Unlabeled Data for Learning Cross-Document Structural Relationships. IJCNLP 2004: 32-41 - [c36]Jahna Otterbacher, Dragomir R. Radev:
RevisionBank: A Resource for Revision-based Multi-document Summarization and Evaluation. LREC 2004 - [c35]Dragomir R. Radev, Timothy Allison, Sasha Blair-Goldensohn, John Blitzer, Arda Çelebi, Stanko Dimitrov, Elliott Drábek, Ali Hakim, Wai Lam, Danyu Liu, Jahna Otterbacher, Hong Qi, Horacio Saggion, Simone Teufel, Michael Topper, Adam Winkel, Zhu Zhang:
MEAD - A Platform for Multidocument Multilingual Text Summarization. LREC 2004 - [c34]Dragomir R. Radev, Jahna Otterbacher, Zhu Zhang:
CST Bank: A Corpus for the Study of Cross-document Structural Relationships. LREC 2004 - [c33]Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, Anoop Sarkar, Kenji Yamada, Alexander M. Fraser, Shankar Kumar, Libin Shen, David Smith, Katherine Eng, Viren Jain, Zhen Jin, Dragomir R. Radev:
A Smorgasbord of Features for Statistical Machine Translation. HLT-NAACL 2004: 161-168 - [c32]Dragomir R. Radev, Timothy Allison, Matthew Craig, Stanko Dimitrov, Omer Kareem, Michael Topper, Adam Winkel, Jin Yi:
A Scaleable Multi-document Centroid-based Summarizer. HLT-NAACL (Demonstration Papers) 2004 - [c31]Dragomir R. Radev, Hong Qi, Adam Winkel, Daniel Tam:
Computational Linkuistics: Word Triggers across Hyperlinks. HLT-NAACL (Short Papers) 2004 - [c30]James Pustejovsky, Roser Saurí, José M. Castaño, Dragomir R. Radev, Robert J. Gaizauskas, Andrea Setzer, Beth Sundheim, Graham Katz:
Representing Temporal and Event Knowledge for QA Systems. New Directions in Question Answering 2004: 99-112 - [c29]Harris Wu, Dragomir R. Radev, Weiguo Fan:
Toward Answer-Focused Summarization Using Search Engines. New Directions in Question Answering 2004: 227-236 - 2003
- [j6]James Allan, Jay Aslam, Nicholas J. Belkin, Chris Buckley, James P. Callan, W. Bruce Croft, Susan T. Dumais, Norbert Fuhr, Donna Harman, David J. Harper, Djoerd Hiemstra, Thomas Hofmann, Eduard H. Hovy, Wessel Kraaij, John D. Lafferty, Victor Lavrenko, David D. Lewis, Liz Liddy, R. Manmatha, Andrew McCallum, Jay M. Ponte, John M. Prager, Dragomir R. Radev, Philip Resnik, Stephen E. Robertson, Ronald Rosenfeld
Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002. SIGIR Forum 37(1): 31-47 (2003) - [c28]Dragomir R. Radev, Simone Teufel, Horacio Saggion, Wai Lam, John Blitzer, Hong Qi, Arda Çelebi, Danyu Liu, Elliott Drábek:
Evaluation Challenges in Large-Scale Document Summarization. ACL 2003: 375-382 - [c27]Zhu Zhang, Jahna Otterbacher, Dragomir R. Radev:
Learning cross-document structural relationships using boosting. CIKM 2003: 124-130 - [c26]Dragomir R. Radev, Daniel Tam:
Summarization evaluation using relative utility. CIKM 2003: 508-511 - [c25]James Pustejovsky, José M. Castaño, Robert Ingria, Roser Saurí, Robert J. Gaizauskas, Andrea Setzer, Graham Katz, Dragomir R. Radev:
TimeML: Robust Specification of Event and Temporal Expressions in Text. New Directions in Question Answering 2003: 28-34 - [c24]Dragomir R. Radev:
Panel on Web-Based Question Answering. New Directions in Question Answering 2003: 105-106 - [c23]Cong Yu, H. V. Jagadish, Dragomir R. Radev:
Querying XML using structures and keywords in timber. SIGIR 2003: 463 - [c22]Jahna Otterbacher, Hong Qi, Ali Hakim, Dragomir R. Radev:
The University of Michigan at TREC 2003. TREC 2003: 732-738 - 2002
- [j5]Dragomir R. Radev, Eduard H. Hovy
Introduction to the Special Issue on Summarization. Comput. Linguistics 28(4): 399-408 (2002) - [j4]Dragomir R. Radev, Kelsey Libner, Weiguo Fan
Getting answers to natural language questions on the Web. J. Assoc. Inf. Sci. Technol. 53(5): 359-364 (2002) - [c21]Zhu Zhang, Sasha Blair-Goldensohn, Dragomir R. Radev:
Towards CST-Enhanced Summarization. AAAI/IAAI 2002: 439-446 - [c20]Horacio Saggion, Dragomir R. Radev, Simone Teufel, Wai Lam:
Meta-evaluation of Summaries in a Cross-lingual Environment using Content-based Metrics. COLING 2002 - [c19]Dragomir R. Radev, Hong Qi, Harris Wu, Weiguo Fan:
Evaluating Web-based Question Answering Systems. LREC 2002 - [c18]Horacio Saggion, Dragomir R. Radev, Simone Teufel, Wai Lam, Stephanie M. Strassel:
Developing Infrastructure for the Evaluation of Single and Multi-document Summarization Systems in a Cross-lingual Environment. LREC 2002 - [c17]Hong Qi, Jahna Otterbacher, Adam Winkel, Dragomir R. Radev:
The University of Michigan at TREC 2002: Question Answering and Novelty Tracks. TREC 2002 - [c16]Dragomir R. Radev, Weiguo Fan
Probabilistic question answering on the web. WWW 2002: 408-419 - 2001
- [c15]Dragomir R. Radev, Hong Qi, Zhiping Zheng, Sasha Blair-Goldensohn, Zhu Zhang, Weiguo Fan, John M. Prager:
Mining the Web for Answers to Natural Language Questions. CIKM 2001: 143-150 - [c14]Dragomir R. Radev, Sasha Blair-Goldensohn, Zhu Zhang, Revathi Sundara Raghavan:
Interactive, Domain-Independent Identification and Summarization of Topically Related News Articles. ECDL 2001: 225-238 - [c13]John M. Prager, Dragomir R. Radev, Krzysztof Czuba:
Answering What-Is Questions by Virtual Annotation. HLT 2001 - [c12]Dragomir R. Radev, Sasha Blair-Goldensohn, Zhu Zhang, Revathi Sundara Raghavan:
NewsInEssence: A System For Domain-Independent, Real-Time News Clustering and Multi-Document Summarization. HLT 2001 - 2000
- [c11]Dragomir R. Radev, John M. Prager, Valerie Samn:
Ranking suspected answers to natural language questions using predictive annotation. ANLP 2000: 150-157 - [c10]Dragomir R. Radev:
A Common Theory of Information Fusion from Multiple Text Sources Step One: Cross-Document Structure. SIGDIAL Workshop 2000: 74-83 - [c9]John M. Prager, Eric W. Brown, Anni Coden, Dragomir R. Radev:
Question-answering by predictive annotation. SIGIR 2000: 184-191 - [c8]John M. Prager, Eric W. Brown, Dragomir R. Radev, Krzysztof Czuba:
One Search Engine or Two for Question-Answering. TREC 2000 - [i6]Dragomir R. Radev, Hongyan Jing, Malgorzata Budzikowska:
Centroid-based summarization of multiple documents: sentence extraction utility-based evaluation, and user studies. CoRR cs.CL/0005020 (2000) - [i5]Dragomir R. Radev, John M. Prager, Valerie Samn:
Ranking suspected answers to natural language questions using predictive annotation. CoRR cs.CL/0005029 (2000)
1990 – 1999
- 1999
- [j3]Nancy L. Green, Jennifer Chu-Carroll, David Kortenkamp, Alan C. Schultz, Michael H. Coen, Dragomir R. Radev, Eduard H. Hovy, Peter Haddawy, Steve Hanks, Eugene C. Freuder, Charlie Ortiz, Sandip Sen:
The AAAI Spring Symposia. AI Mag. 20(3): 83-86 (1999) - [c7]John M. Prager, Dragomir R. Radev, Eric W. Brown, Anni Coden, Valerie Samn:
The Use of Predictive Annotation for Question Answering in TREC8. TREC 1999 - 1998
- [j2]Dragomir R. Radev, Kathleen R. McKeown:
Generating Natural Language Summaries from Multiple On-Line Sources. Comput. Linguistics 24(3): 469-500 (1998) - [c6]Dragomir R. Radev:
Learning Correlations between Linguistic Indicators and Semantic Constraints: Reuse of Context-Dependent Decsriptions of Entities. COLING-ACL 1998: 1072-1078 - [i4]Dragomir R. Radev:
Learning Correlations between Linguistic Indicators and Semantic Constraints: Reuse of Context-Dependent Descriptions of Entities. CoRR cmp-lg/9806001 (1998) - 1997
- [j1]Alfred V. Aho, Shih-Fu Chang, Kathleen R. McKeown, Dragomir R. Radev, John R. Smith, Kazi A. Zaman:
Columbia Digital News Project: An Environment for Briefing and Search over Multimedia Information. Int. J. Digit. Libr. 1(4): 377-385 (1997) - [c5]Alfred V. Aho, Shih-Fu Chang, Kathleen R. McKeown, Dragomir R. Radev, John R. Smith, Kazi A. Zaman:
Columbia Digital News System An Environment for Briefing and Search over Multimedia Information. ADL 1997: 82-94 - [c4]Dragomir R. Radev, Kathleen R. McKeown:
Building a Generation Knowledge Source using Internet-Accessible Newswire. ANLP 1997: 221-228 - [i3]Dragomir R. Radev, Kathleen R. McKeown:
Building a Generation Knowledge Source using Internet-Accessible Newswire. CoRR cmp-lg/9702014 (1997) - [i2]Evelyne Tzoukermann, Dragomir R. Radev:
Use of Weighted Finite State Transducers in Part of Speech Tagging. CoRR cmp-lg/9710001 (1997) - [i1]Evelyne Tzoukermann, Dragomir R. Radev, William A. Gale:
Tagging French Without Lexical Probabilities - Combining Linguistic Knowledge And Statistical Learning. CoRR cmp-lg/9710002 (1997) - 1996
- [c3]Evelyne Tzoukermann, Dragomir R. Radev:
Using Word Class for Part-of-speech Disambiguation. VLC@COLING 1996 - [c2]Dragomir R. Radev:
An Architecture For Distributed Natural Language Summarization. INLG 1996 - 1995
- [c1]Kathleen R. McKeown, Dragomir R. Radev:
Generating Summaries of Multiple News Articles. SIGIR 1995: 74-82
Coauthor Index
Ahmed Awadallah 0001
aka: Ahmed Hassan Awadallah
aka: Ahmed Hassan Awadallah
Shafiq R. Joty
aka: Shafiq Joty
aka: Shafiq Joty
Kathy McKeown
aka: Kathleen R. McKeown
aka: Kathleen R. McKeown
[c177] [c176] [j37] [i94] [j35] [c150] [c149] [c147] [c140] [i90] [i77] [i75] [i73] [c131] [c128] [i64] [i56] [i52] [i51] [c124] [i46] [i44] [c120] [c118] [c117] [c116] [c115] [c114] [i37] [i36] [i32] [i31] [i30] [c109] [c108] [c107] [c105] [c104] [c103] [i28] [i26] [i25] [i23] [i22] [c100] [i20] [i19] [c99] [c92] [i16]
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last updated on 2024-11-25 23:42 CET by the dblp team
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