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Alan Akbik
Person information
- affiliation: Humboldt University of Berlin, Department of Computer Science, Germany
- affiliation: Zalando Research, Berlin, Germany
- affiliation: IBM Research, Almaden Research Center, San Jose, CA, USA
- affiliation (PhD 2016): Technical University of Berlin, Germany
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2020 – today
- 2024
- [c38]Lukas Garbaciauskas, Max Ploner, Alan Akbik:
Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks. ACL (Findings) 2024: 12752-12768 - [c37]Patrick Haller, Jonas Golde, Alan Akbik:
PECC: Problem Extraction and Coding Challenges. LREC/COLING 2024: 12690-12699 - [c36]Max Ploner
, Alan Akbik:
Parameter-Efficient Fine-Tuning: Is There An Optimal Subset of Parameters to Tune? EACL (Findings) 2024: 1743-1759 - [c35]Jonas Golde, Felix Hamborg, Alan Akbik:
Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition. EACL (1) 2024: 2915-2930 - [c34]David Schulte, Felix Hamborg, Alan Akbik:
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning. EMNLP 2024: 9431-9442 - [c33]Elena Merdjanovska, Ansar Aynetdinov, Alan Akbik:
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition. EMNLP 2024: 18182-18198 - [c32]Patrick Haller, Ansar Aynetdinov, Alan Akbik:
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs. NAACL (Demonstrations) 2024: 78-86 - [c31]Jacek Wiland, Max Ploner, Alan Akbik:
BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models. NAACL-HLT (Findings) 2024: 2393-2411 - [i18]Ansar Aynetdinov, Alan Akbik:
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity. CoRR abs/2401.17072 (2024) - [i17]Mario Sänger, Samuele Garda, Xing David Wang, Leon Weber-Genzel, Pia Droop, Benedikt Fuchs, Alan Akbik, Ulf Leser:
HunFlair2 in a cross-corpus evaluation of biomedical named entity recognition and normalization tools. CoRR abs/2402.12372 (2024) - [i16]Jonas Golde, Felix Hamborg, Alan Akbik:
Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition. CoRR abs/2403.14222 (2024) - [i15]Max Dallabetta, Conrad Dobberstein, Adrian Breiding, Alan Akbik:
Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions. CoRR abs/2403.15279 (2024) - [i14]Jacek Wiland, Max Ploner, Alan Akbik:
BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models. CoRR abs/2404.04113 (2024) - [i13]Patrick Haller, Jonas Golde, Alan Akbik:
PECC: Problem Extraction and Coding Challenges. CoRR abs/2404.18766 (2024) - [i12]Elena Merdjanovska, Ansar Aynetdinov, Alan Akbik:
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition. CoRR abs/2405.07609 (2024) - [i11]Max Ploner
LM-PUB-QUIZ: A Comprehensive Framework for Zero-Shot Evaluation of Relational Knowledge in Language Models. CoRR abs/2408.15729 (2024) - [i10]Lukas Garbas, Max Ploner
TransformerRanker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks. CoRR abs/2409.05997 (2024) - [i9]David Schulte, Felix Hamborg, Alan Akbik:
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning. CoRR abs/2410.15148 (2024) - 2023
- [c30]Marcel Milich, Alan Akbik:
ZELDA: A Comprehensive Benchmark for Supervised Entity Disambiguation. EACL 2023: 2053-2064 - [c29]Jonas Golde, Patrick Haller, Felix Hamborg, Julian Risch, Alan Akbik:
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs. EMNLP (Demos) 2023: 1-11 - [c28]Susanna Rücker, Alan Akbik:
CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset. EMNLP 2023: 8628-8645 - [i8]Patrick Haller, Ansar Aynetdinov, Alan Akbik:
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs. CoRR abs/2309.03876 (2023) - [i7]Jonas Golde, Patrick Haller, Felix Hamborg, Julian Risch
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs. CoRR abs/2309.09582 (2023) - [i6]Susanna Rücker, Alan Akbik:
CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset. CoRR abs/2310.16225 (2023) - 2022
- [c27]Angelo Ziletti, Alan Akbik, Christoph Berns, Thomas Herold, Marion Legler, Martina Viell:
Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning. NAACL-HLT (Industry Papers) 2022: 176-187 - [i5]Angelo Ziletti, Alan Akbik, Christoph Berns, Thomas Herold, Marion Legler, Martina Viell:
Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning. CoRR abs/2206.02662 (2022) - [i4]Kishaloy Halder, Josip Krapac, Alan Akbik, Anthony Brew, Matti Lyra:
Task-Specific Embeddings for Ante-Hoc Explainable Text Classification. CoRR abs/2212.00086 (2022) - 2021
- [j1]Leon Weber, Mario Sänger
HunFlair: an easy-to-use tool for state-of-the-art biomedical named entity recognition. Bioinform. 37(17): 2792-2794 (2021) - [c26]Matthias Vogt, Ulf Leser, Alan Akbik:
Early Detection of Sexual Predators in Chats. ACL/IJCNLP (1) 2021: 4985-4999 - 2020
- [c25]Kishaloy Halder, Alan Akbik, Josip Krapac, Roland Vollgraf:
Task-Aware Representation of Sentences for Generic Text Classification. COLING 2020: 3202-3213 - [i3]Leon Weber, Mario Sänger, Jannes Münchmeyer, Maryam Habibi, Ulf Leser, Alan Akbik:
HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity Recognition. CoRR abs/2008.07347 (2020) - [i2]Stefan Schweter, Alan Akbik:
FLERT: Document-Level Features for Named Entity Recognition. CoRR abs/2011.06993 (2020)
2010 – 2019
- 2019
- [c24]Alan Akbik, Tanja Bergmann, Duncan Blythe, Kashif Rasul, Stefan Schweter, Roland Vollgraf:
FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP. NAACL-HLT (Demonstrations) 2019: 54-59 - [c23]Alan Akbik, Tanja Bergmann, Roland Vollgraf:
Pooled Contextualized Embeddings for Named Entity Recognition. NAACL-HLT (1) 2019: 724-728 - 2018
- [c22]Alan Akbik, Duncan Blythe, Roland Vollgraf:
Contextual String Embeddings for Sequence Labeling. COLING 2018: 1638-1649 - [c21]Alan Akbik, Roland Vollgraf:
ZAP: An Open-Source Multilingual Annotation Projection Framework. LREC 2018 - [c20]Leonidas Lefakis, Alan Akbik, Roland Vollgraf:
FEIDEGGER: A Multi-modal Corpus of Fashion Images and Descriptions in German. LREC 2018 - [i1]Duncan Blythe, Alan Akbik, Roland Vollgraf:
Syntax-Aware Language Modeling with Recurrent Neural Networks. CoRR abs/1803.03665 (2018) - 2017
- [c19]Alan Akbik, Roland Vollgraf:
The Projector: An Interactive Annotation Projection Visualization Tool. EMNLP (System Demonstrations) 2017: 43-48 - [c18]Chenguang Wang, Alan Akbik, Laura Chiticariu, Yunyao Li, Fei Xia, Anbang Xu:
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles. EMNLP 2017: 1913-1922 - 2016
- [b1]Alan Akbik:
Exploratory relation extraction in large multilingual data. Technical University of Berlin, Germany, 2016 - [c17]Alan Akbik, Yunyao Li:
POLYGLOT: Multilingual Semantic Role Labeling with Unified Labels. ACL (System Demonstrations) 2016: 1-6 - [c16]Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yonas Kbrom, Yunyao Li, Huaiyu Zhu:
Multilingual Information Extraction with PolyglotIE. COLING (Demos) 2016: 268-272 - [c15]Alan Akbik, Yunyao Li:
K-SRL: Instance-based Learning for Semantic Role Labeling. COLING 2016: 599-608 - [c14]Alan Akbik, Xinyu Guan, Yunyao Li:
Multilingual Aliasing for Auto-Generating Proposition Banks. COLING 2016: 3466-3474 - [c13]Alan Akbik, Vishwajeet Kumar
Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages. EMNLP 2016: 993-998 - [c12]Larysa Visengeriyeva, Alan Akbik, Manohar Kaul:
Improving Data Quality by Leveraging Statistical Relational Learning. ICIQ 2016: 220-236 - 2015
- [c11]Thilo Michael, Alan Akbik:
SCHNAPPER: A Web Toolkit for Exploratory Relation Extraction. ACL (System Demonstrations) 2015: 67-72 - [c10]Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yunyao Li, Shivakumar Vaithyanathan, Huaiyu Zhu:
Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling. ACL (1) 2015: 397-407 - 2014
- [c9]Umar Maqsud, Sebastian Arnold, Michael Hülfenhaus, Alan Akbik:
Nerdle: Topic-Specific Question Answering Using Wikia Seeds. COLING (Demos) 2014: 81-85 - [c8]Alan Akbik, Thilo Michael, Christoph Boden:
Exploratory Relation Extraction in Large Text Corpora. COLING 2014: 2087-2096 - [c7]Johannes Kirschnick, Alan Akbik, Holmer Hemsen:
Freepal: A Large Collection of Deep Lexico-Syntactic Patterns for Relation Extraction. LREC 2014: 2071-2075 - [c6]Alan Akbik, Thilo Michael:
The Weltmodell: A Data-Driven Commonsense Knowledge Base. LREC 2014: 3272-3276 - 2013
- [c5]Alan Akbik, Oresti Konomi, Michail Melnikov:
Propminer: A Workflow for Interactive Information Extraction and Exploration using Dependency Trees. ACL (Conference System Demonstrations) 2013: 157-162 - [c4]Alan Akbik, Larysa Visengeriyeva, Johannes Kirschnick, Alexander Löser:
Effective Selectional Restrictions for Unsupervised Relation Extraction. IJCNLP 2013: 1312-1320 - [c3]Luis Faria, Alan Akbik, Barbara Sierman, Marcel Ras, Miguel Ferreira, José Carlos Ramalho:
Automatic Preservation Watch using Information Extraction on the Web. iPRES 2013 - 2012
- [c2]Alan Akbik, Larysa Visengeriyeva, Priska Herger, Holmer Hemsen, Alexander Löser:
Unsupervised Discovery of Relations and Discriminative Extraction Patterns. COLING 2012: 17-32 - [c1]Alan Akbik, Alexander Löser:
KrakeN: N-ary Facts in Open Information Extraction. AKBC-WEKEX@NAACL-HLT 2012: 52-56
Coauthor Index
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last updated on 2024-11-27 20:29 CET by the dblp team
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