A primer in BERTology: What we know about how BERT works A Rogers, O Kovaleva, A Rumshisky Transactions of the Association for Computational Linguistics 8, 842-866, 2021 | 1564 | 2021 |
Revealing the dark secrets of BERT O Kovaleva, A Romanov, A Rogers, A Rumshisky Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 642 | 2019 |
Evaluating temporal relations in clinical text: 2012 i2b2 challenge W Sun, A Rumshisky, O Uzuner Journal of the American Medical Informatics Association, amiajnl-2013-001628, 2013 | 558 | 2013 |
Unfolding Physiological State: Mortality Modelling in Intensive Care Units M Ghassemi, T Naumann, F Doshi-Velez, N Brimmer, R Joshi, ... | 280* | |
Automating temporal annotation with TARSQI M Verhagen, I Mani, R Sauri, R Knippen, SB Jang, J Littman, ... Proceedings of the ACL 2005 on Interactive poster and demonstration sessions …, 2005 | 222 | 2005 |
Predicting early psychiatric readmission with natural language processing of narrative discharge summaries A Rumshisky, M Ghassemi, T Naumann, P Szolovits, VM Castro, ... Translational Psychiatry 6 (10), e921, 2016 | 190 | 2016 |
When BERT plays the lottery, all tickets are winning S Prasanna, A Rogers, A Rumshisky Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 177 | 2020 |
GhostWriter: Using an LSTM for Automatic Rap Lyric Generation. P Potash, A Romanov, A Rumshisky EMNLP, 1919-1924, 2015 | 148 | 2015 |
RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian A Rogers, A Romanov, A Rumshisky, S Volkova, M Gronas, A Gribov Proceedings of the 27th International Conference on Computational …, 2018 | 129 | 2018 |
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning V Lialin, V Deshpande, A Rumshisky arXiv preprint arXiv:2303.15647, 2023 | 114 | 2023 |
Annotating temporal information in clinical narratives W Sun, A Rumshisky, O Uzuner Journal of biomedical informatics 46, S5-S12, 2013 | 111 | 2013 |
Classification of discourse coherence relations: An exploratory study using multiple knowledge sources B Wellner, J Pustejovsky, C Havasi, A Rumshisky, R Sauri Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue, 117-125, 2009 | 97 | 2009 |
Towards a generative lexical resource: The brandeis semantic ontology J Pustejovsky, C Havasi, J Littman, A Rumshisky, M Verhagen Proceedings of the Fifth Language Resource and Evaluation Conference 7, 2006 | 95 | 2006 |
Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks A Rogers, O Kovaleva, M Downey, A Rumshisky | 94 | 2020 |
Here's My Point: Argumentation Mining with Pointer Networks P Potash, A Romanov, A Rumshisky arXiv preprint arXiv:1612.08994, 2016 | 91* | 2016 |
SemEval-2017 Task 6:# HashtagWars: Learning a sense of humor P Potash, A Romanov, A Rumshisky Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 86 | 2017 |
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes A Romanov, M De-Arteaga, H Wallach, J Chayes, C Borgs, ... Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 83 | 2019 |
Temporal reasoning over clinical text: the state of the art W Sun, A Rumshisky, O Uzuner Journal of the American Medical Informatics Association 20 (5), 814-819, 2013 | 77 | 2013 |
Automated induction of sense in context J Pustejovsky, P Hanks, A Rumshisky Proceedings of the 20th international conference on Computational …, 2004 | 75 | 2004 |
Medstract: creating large-scale information servers from biomedical texts J Pustejovsky, J Castano, R Sauri, A Rumshisky, J Zhang, W Luo Proceedings of the ACL-02 workshop on Natural language processing in the …, 2002 | 73 | 2002 |