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ORCIDIsabelle Augenstein
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- affiliation: University of Copenhagen, Denmark
- affiliation (PhD 2016): University of Sheffield, UK
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2020 – today
- 2023
[j17]Anna Rogers
, Matt Gardner, Isabelle Augenstein:
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. ACM Comput. Surv. 55(10): 197:1-197:45 (2023)- [j16]Nils Rethmeier, Isabelle Augenstein:
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives. ACM Comput. Surv. 55(10): 203:1-203:17 (2023) - [j15]Andreas Nugaard Holm, Dustin Wright, Isabelle Augenstein:
Revisiting Softmax for Uncertainty Approximation in Text Classification. Inf. 14(7): 420 (2023) - [j14]Dustin Wright, Paolo Papotti, Isabelle Augenstein:
Introduction to the Special Issue on Truth and Trust Online. ACM J. Data Inf. Qual. 15(1): 1:1-1:3 (2023) - [c79]Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein:
A Latent-Variable Model for Intrinsic Probing. AAAI 2023: 13591-13599 - [c78]Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein:
Faithfulness Tests for Natural Language Explanations. ACL (2) 2023: 283-294 - [c77]Nadav Borenstein, Karolina Stanczak, Thea Rolskov, Natacha Klein Käfer, Natalia da Silva Perez, Isabelle Augenstein:
Measuring Intersectional Biases in Historical Documents. ACL (Findings) 2023: 2711-2730 - [c76]Nadav Borenstein, Natalia da Silva Perez, Isabelle Augenstein:
Multilingual Event Extraction from Historical Newspaper Adverts. ACL (1) 2023: 10304-10325 - [c75]Erik Arakelyan, Arnav Arora, Isabelle Augenstein:
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection. ACL (1) 2023: 13448-13464 - [e8]Andreas Vlachos, Isabelle Augenstein:
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023, Dubrovnik, Croatia, May 2-6, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-44-9 [contents] - [e7]Andreas Vlachos, Isabelle Augenstein:
Findings of the Association for Computational Linguistics: EACL 2023, Dubrovnik, Croatia, May 2-6, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-47-0 [contents] - [e6]Burcu Can, Maximilian Mozes, Samuel Cahyawijaya, Naomi Saphra, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Chen Zhao, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Lena Voita:
Proceedings of the 8th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2023, Toronto, Canada, July 13, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-77-7 [contents] - [i100]Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein:
Adapting Neural Link Predictors for Complex Query Answering. CoRR abs/2301.12313 (2023) - [i99]Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein:
TempEL: Linking Dynamically Evolving and Newly Emerging Entities. CoRR abs/2302.02500 (2023) - [i98]Sandra Martinková, Karolina Stanczak, Isabelle Augenstein:
Measuring Gender Bias in West Slavic Language Models. CoRR abs/2304.05783 (2023) - [i97]Lucie-Aimée Kaffee, Arnav Arora, Zeerak Talat, Isabelle Augenstein:
Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing. CoRR abs/2304.08315 (2023) - [i96]Nadav Borenstein, Natalia da Silva Perez, Isabelle Augenstein:
Multilingual Event Extraction from Historical Newspaper Adverts. CoRR abs/2305.10928 (2023) - [i95]Nadav Borenstein, Karolina Stanczak, Thea Rolskov, Natalia da Silva Perez, Natacha Klein Käfer, Isabelle Augenstein:
Measuring Intersectional Biases in Historical Documents. CoRR abs/2305.12376 (2023) - [i94]Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein:
Faithfulness Tests for Natural Language Explanations. CoRR abs/2305.18029 (2023) - [i93]Erik Arakelyan, Arnav Arora, Isabelle Augenstein:
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection. CoRR abs/2306.00765 (2023) - [i92]Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David P. A. Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Y. Halevy, Eduard H. Hovy, Heng Ji, Filippo Menczer, Rubén Míguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, Giovanni Zagni:
Factuality Challenges in the Era of Large Language Models. CoRR abs/2310.05189 (2023) - [i91]Lucie-Aimée Kaffee, Arnav Arora, Isabelle Augenstein:
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions. CoRR abs/2310.05779 (2023) - [i90]Sagnik Ray Choudhury, Pepa Atanasova, Isabelle Augenstein:
Explaining Interactions Between Text Spans. CoRR abs/2310.13506 (2023) - [i89]Nadav Borenstein, Phillip Rust, Desmond Elliott, Isabelle Augenstein:
PHD: Pixel-Based Language Modeling of Historical Documents. CoRR abs/2310.18343 (2023) - [i88]Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil van der Aalst, Claudia Wagner:
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection. CoRR abs/2311.01270 (2023) - [i87]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) - [i86]Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein:
Social Bias Probing: Fairness Benchmarking for Language Models. CoRR abs/2311.09090 (2023) - 2022
- [j13]Luna De Bruyne, Pepa Atanasova, Isabelle Augenstein:
Joint emotion label space modeling for affect lexica. Comput. Speech Lang. 71: 101257 (2022) - [j12]Andreas Holzinger, Matthias Dehmer, Frank Emmert-Streib, Rita Cucchiara, Isabelle Augenstein, Javier Del Ser, Wojciech Samek, Igor Jurisica, Natalia Díaz Rodríguez:
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. Inf. Fusion 79: 263-278 (2022) - [j11]Shailza Jolly, Pepa Atanasova, Isabelle Augenstein:
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing. Inf. 13(10): 500 (2022) - [j10]Isabelle Augenstein:
Habilitation Abstract: Towards Explainable Fact Checking. Künstliche Intell. 36(3): 255-258 (2022) - [j9]Sheikh Muhammad Sarwar, Dimitrina Zlatkova, Momchil Hardalov, Yoan Dinkov, Isabelle Augenstein, Preslav Nakov:
A Neighborhood Framework for Resource-Lean Content Flagging. Trans. Assoc. Comput. Linguistics 10: 484-502 (2022) - [j8]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Fact Checking with Insufficient Evidence. Trans. Assoc. Comput. Linguistics 10: 746-763 (2022) - [c74]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Diagnostics-Guided Explanation Generation. AAAI 2022: 10445-10453 - [c73]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training. AAAI 2022: 10729-10737 - [c72]Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein:
Longitudinal Citation Prediction using Temporal Graph Neural Networks. SDU@AAAI 2022 - [c71]Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang:
Generating Scientific Claims for Zero-Shot Scientific Fact Checking. ACL (1) 2022: 2448-2460 - [c70]Sagnik Ray Choudhury, Anna Rogers, Isabelle Augenstein:
Machine Reading, Fast and Slow: When Do Models "Understand" Language? COLING 2022: 78-93 - [c69]Sagnik Ray Choudhury, Nikita Bhutani, Isabelle Augenstein:
Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models? COLING 2022: 1620-1635 - [c68]Anabela Barreiro, José G. C. de Souza, Albert Gatt, Mehul Bhatt, Elena Lloret, Aykut Erdem, Dimitra Gkatzia, Helena Moniz, Irene Russo, Fábio N. Kepler, Iacer Calixto, Marcin Paprzycki, François Portet, Isabelle Augenstein, Mirela Alhasani:
Multi3Generation: Multitask, Multilingual, Multimodal Language Generation. EAMT 2022: 345-346 - [c67]Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein:
Modeling Information Change in Science Communication with Semantically Matched Paraphrases. EMNLP 2022: 1783-1807 - [c66]Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm:
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. EMNLP 2022: 11670-11688 - [c65]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
A Survey on Stance Detection for Mis- and Disinformation Identification. NAACL-HLT (Findings) 2022: 1259-1277 - [c64]Karolina Stanczak, Edoardo M. Ponti, Lucas Torroba Hennigen, Ryan Cotterell, Isabelle Augenstein:
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models. NAACL-HLT 2022: 1589-1598 - [c63]Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein:
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection. NAACL-HLT 2022: 4716-4726 - [c62]Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein:
TempEL: Linking Dynamically Evolving and Newly Emerging Entities. NeurIPS 2022 - [e5]Spandana Gella, He He, Bodhisattwa Prasad Majumder, Burcu Can, Eleonora Giunchiglia, Samuel Cahyawijaya, Sewon Min, Maximilian Mozes, Xiang Lorraine Li, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Laura Rimell, Chris Dyer:
Proceedings of the 7th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-48-3 [contents] - [i85]Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein:
A Latent-Variable Model for Intrinsic Probing. CoRR abs/2201.08214 (2022) - [i84]Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm:
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. CoRR abs/2202.06671 (2022) - [i83]Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang:
Generating Scientific Claims for Zero-Shot Scientific Fact Checking. CoRR abs/2203.12990 (2022) - [i82]Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein:
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values. CoRR abs/2203.13722 (2022) - [i81]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Fact Checking with Insufficient Evidence. CoRR abs/2204.02007 (2022) - [i80]Karolina Stanczak, Edoardo Maria Ponti, Lucas Torroba Hennigen, Ryan Cotterell, Isabelle Augenstein:
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models. CoRR abs/2205.02023 (2022) - [i79]Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein:
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection. CoRR abs/2205.04238 (2022) - [i78]Sagnik Ray Choudhury, Anna Rogers, Isabelle Augenstein:
Machine Reading, Fast and Slow: When Do Models "Understand" Language? CoRR abs/2209.07430 (2022) - [i77]Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein:
Modeling Information Change in Science Communication with Semantically Matched Paraphrases. CoRR abs/2210.13001 (2022) - [i76]Andreas Nugaard Holm, Dustin Wright, Isabelle Augenstein:
Revisiting Softmax for Uncertainty Approximation in Text Classification. CoRR abs/2210.14037 (2022) - [i75]Dustin Wright, Isabelle Augenstein:
Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization. CoRR abs/2212.09409 (2022) - 2021
- [j7]Liesbeth Allein, Isabelle Augenstein, Marie-Francine Moens:
Time-aware evidence ranking for fact-checking. J. Web Semant. 71: 100663 (2021) - [c61]Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell:
Is Sparse Attention more Interpretable? ACL/IJCNLP (2) 2021: 122-129 - [c60]Dustin Wright, Isabelle Augenstein:
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding. ACL/IJCNLP (Findings) 2021: 1796-1807 - [c59]Johannes Bjerva, Isabelle Augenstein:
Does Typological Blinding Impede Cross-Lingual Sharing? EACL 2021: 480-486 - [c58]Indira Sen, Mattia Samory, Fabian Flöck, Claudia Wagner, Isabelle Augenstein:
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? EMNLP (1) 2021: 325-344 - [c57]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Cross-Domain Label-Adaptive Stance Detection. EMNLP (1) 2021: 9011-9028 - [c56]Dustin Wright, Isabelle Augenstein:
Semi-Supervised Exaggeration Detection of Health Science Press Releases. EMNLP (1) 2021: 10824-10836 - [c55]Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein:
Multi-Hop Fact Checking of Political Claims. IJCAI 2021: 3892-3898 - [c54]Wei Zhao, Steffen Eger, Johannes Bjerva, Isabelle Augenstein:
Inducing Language-Agnostic Multilingual Representations. *SEM 2021: 229-240 - [e4]Isabelle Augenstein, Ivan Habernal:
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, EACL 2021, Online, April 19-20, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-03-9 [contents] - [e3]Isabelle Augenstein, Paolo Papotti, Dustin Wright:
Proceedings of the 2021 Truth and Trust Online Conference (TTO 2021), Virtual, October 7-8, 2021. Hacks Hackers 2021 [contents] - [i74]Johannes Bjerva, Isabelle Augenstein:
Does Typological Blinding Impede Cross-Lingual Sharing? CoRR abs/2101.11888 (2021) - [i73]Zeerak Waseem, Smarika Lulz, Joachim Bingel, Isabelle Augenstein:
Disembodied Machine Learning: On the Illusion of Objectivity in NLP. CoRR abs/2101.11974 (2021) - [i72]Nils Rethmeier, Isabelle Augenstein:
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives. CoRR abs/2102.12982 (2021) - [i71]Preslav Nakov, Vibha Nayak, Kyle Dent, Ameya Bhatawdekar, Sheikh Muhammad Sarwar, Momchil Hardalov, Yoan Dinkov, Dimitrina Zlatkova, Guillaume Bouchard, Isabelle Augenstein:
Detecting Abusive Language on Online Platforms: A Critical Analysis. CoRR abs/2103.00153 (2021) - [i70]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
A Survey on Stance Detection for Mis- and Disinformation Identification. CoRR abs/2103.00242 (2021) - [i69]Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro:
University of Copenhagen Participation in TREC Health Misinformation Track 2020. CoRR abs/2103.02462 (2021) - [i68]Sheikh Muhammad Sarwar, Dimitrina Zlatkova, Momchil Hardalov, Yoan Dinkov, Isabelle Augenstein, Preslav Nakov:
A Neighbourhood Framework for Resource-Lean Content Flagging. CoRR abs/2103.17055 (2021) - [i67]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Cross-Domain Label-Adaptive Stance Detection. CoRR abs/2104.07467 (2021) - [i66]Karolina Stanczak, Sagnik Ray Choudhury, Tiago Pimentel, Ryan Cotterell, Isabelle Augenstein:
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models. CoRR abs/2104.07505 (2021) - [i65]Dustin Wright, Isabelle Augenstein:
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding. CoRR abs/2105.10912 (2021) - [i64]Isabelle Augenstein:
Determining the Credibility of Science Communication. CoRR abs/2105.14473 (2021) - [i63]Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell:
Is Sparse Attention more Interpretable? CoRR abs/2106.01087 (2021) - [i62]Anna Rogers, Matt Gardner, Isabelle Augenstein:
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. CoRR abs/2107.12708 (2021) - [i61]Isabelle Augenstein:
Towards Explainable Fact Checking. CoRR abs/2108.10274 (2021) - [i60]Dustin Wright, Isabelle Augenstein:
Semi-Supervised Exaggeration Detection of Health Science Press Releases. CoRR abs/2108.13493 (2021) - [i59]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Diagnostics-Guided Explanation Generation. CoRR abs/2109.03756 (2021) - [i58]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training. CoRR abs/2109.06050 (2021) - [i57]Indira Sen, Mattia Samory, Fabian Flöck, Claudia Wagner, Isabelle Augenstein:
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? CoRR abs/2109.07022 (2021) - [i56]Sagnik Ray Choudhury, Nikita Bhutani, Isabelle Augenstein:
Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models? CoRR abs/2109.07102 (2021) - [i55]Shailza Jolly, Pepa Atanasova, Isabelle Augenstein:
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing. CoRR abs/2112.06924 (2021) - [i54]Sara Marjanovic, Karolina Stanczak, Isabelle Augenstein:
Quantifying Gender Biases Towards Politicians on Reddit. CoRR abs/2112.12014 (2021) - [i53]Karolina Stanczak, Isabelle Augenstein:
A Survey on Gender Bias in Natural Language Processing. CoRR abs/2112.14168 (2021) - 2020
- [c53]Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein:
Back to the Future - Temporal Adaptation of Text Representations. AAAI 2020: 7440-7447 - [c52]Pranav A, Isabelle Augenstein:
2kenize: Tying Subword Sequences for Chinese Script Conversion. ACL 2020: 7257-7272 - [c51]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Generating Fact Checking Explanations. ACL 2020: 7352-7364 - [c50]Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva:
Unsupervised Evaluation for Question Answering with Transformers. BlackboxNLP@EMNLP 2020: 83-90 - [c49]Dustin Wright, Isabelle Augenstein:
Claim Check-Worthiness Detection as Positive Unlabelled Learning. EMNLP (Findings) 2020: 476-488 - [c48]Anna Rogers, Isabelle Augenstein:
What Can We Do to Improve Peer Review in NLP? EMNLP (Findings) 2020: 1256-1262 - [c47]Pepa Atanasova, Dustin Wright, Isabelle Augenstein:
Generating Label Cohesive and Well-Formed Adversarial Claims. EMNLP (1) 2020: 3168-3177 - [c46]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
A Diagnostic Study of Explainability Techniques for Text Classification. EMNLP (1) 2020: 3256-3274 - [c45]Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein:
Zero-Shot Cross-Lingual Transfer with Meta Learning. EMNLP (1) 2020: 4547-4562 - [c44]Johannes Bjerva, Nikita Bhutani, Behzad Golshan, Wang-Chiew Tan, Isabelle Augenstein:
SubjQA: A Dataset for Subjectivity and Review Comprehension. EMNLP (1) 2020: 5480-5494 - [c43]Dustin Wright, Isabelle Augenstein:
Transformer Based Multi-Source Domain Adaptation. EMNLP (1) 2020: 7963-7974 - [c42]Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro:
University of Copenhagen Participation in TREC Health Misinformation Track 2020. TREC 2020 - [c41]Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein:
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP. UAI 2020: 440-449 - [c40]Alok Debnath, Nikhil Pinnaparaju, Manish Shrivastava, Vasudeva Varma, Isabelle Augenstein:
Semantic Textual Similarity of Sentences with Emojis. WWW (Companion Volume) 2020: 426-430 - [i52]Dustin Wright, Isabelle Augenstein:
Fact Check-Worthiness Detection as Positive Unlabelled Learning. CoRR abs/2003.02736 (2020) - [i51]Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein:
Zero-Shot Cross-Lingual Transfer with Meta Learning. CoRR abs/2003.02739 (2020) - [i50]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Generating Fact Checking Explanations. CoRR abs/2004.05773 (2020) - [i49]Johannes Bjerva, Nikita Bhutani, Behzad Golshan, Wang-Chiew Tan, Isabelle Augenstein:
SubjQA: A Dataset for Subjectivity and Review Comprehension. CoRR abs/2004.14283 (2020) - [i48]Pranav A, Isabelle Augenstein:
2kenize: Tying Subword Sequences for Chinese Script Conversion. CoRR abs/2005.03375 (2020) - [i47]Wei Zhao, Steffen Eger, Johannes Bjerva, Isabelle Augenstein:
Inducing Language-Agnostic Multilingual Representations. CoRR abs/2008.09112 (2020) - [i46]Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein:
Multi-Hop Fact Checking of Political Claims. CoRR abs/2009.06401 (2020) - [i45]Liesbeth Allein, Isabelle Augenstein, Marie-Francine Moens:
Time-Aware Evidence Ranking for Fact-Checking. CoRR abs/2009.06402 (2020) - [i44]Dustin Wright, Isabelle Augenstein:
Transformer Based Multi-Source Domain Adaptation. CoRR abs/2009.07806 (2020) - [i43]Pepa Atanasova, Dustin Wright, Isabelle Augenstein:
Generating Label Cohesive and Well-Formed Adversarial Claims. CoRR abs/2009.08205 (2020) - [i42]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
A Diagnostic Study of Explainability Techniques for Text Classification. CoRR abs/2009.13295 (2020) - [i41]Nils Rethmeier, Isabelle Augenstein:
Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data. CoRR abs/2010.01061 (2020) - [i40]Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva:
Unsupervised Evaluation for Question Answering with Transformers. CoRR abs/2010.03222 (2020) - [i39]Anna Rogers, Isabelle Augenstein:
What Can We Do to Improve Peer Review in NLP? CoRR abs/2010.03863 (2020) - [i38]Johannes Bjerva, Elizabeth Salesky, Sabrina J. Mielke, Aditi Chaudhary, Giuseppe G. A. Celano, Edoardo Maria Ponti, Ekaterina Vylomova, Ryan Cotterell, Isabelle Augenstein:
SIGTYP 2020 Shared Task: Prediction of Typological Features. CoRR abs/2010.08246 (2020) - [i37]Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein:
Longitudinal Citation Prediction using Temporal Graph Neural Networks. CoRR abs/2012.05742 (2020) - [i36]