| Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum JW Ayers, A Poliak, M Dredze, EC Leas, Z Zhu, JB Kelley, DJ Faix, ... JAMA internal medicine 183 (6), 589-596, 2023 | 1413 | 2023 |
| What do you learn from context? probing for sentence structure in contextualized word representations I Tenney, P Xia, B Chen, A Wang, A Poliak, RT McCoy, N Kim, ... arXiv preprint arXiv:1905.06316, 2019 | 995 | 2019 |
| Hypothesis Only Baselines in Natural Language Inference A Poliak, J Naradowsky, A Haldar, R Rudinger, B Van Durme Proceedings of the Seventh Joint Conference on Lexical and Computational …, 2018 | 638 | 2018 |
| Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation A Poliak, A Haldar, R Rudinger, JE Hu, E Pavlick, AS White, B Van Durme Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 177 | 2018 |
| Probing what different NLP tasks teach machines about function word comprehension N Kim, R Patel, A Poliak, A Wang, P Xia, RT McCoy, I Tenney, A Ross, ... arXiv preprint arXiv:1904.11544, 2019 | 114 | 2019 |
| Don't take the premise for granted: Mitigating artifacts in natural language inference Y Belinkov, A Poliak, SM Shieber, B Van Durme, AM Rush arXiv preprint arXiv:1907.04380, 2019 | 101 | 2019 |
| Uncertain Natural Language Inference T Chen, Z Jiang, A Poliak, K Sakaguchi, B Van Durme arXiv preprint arXiv:1909.03042, 2019 | 92 | 2019 |
| Efficient, Compositional, Order-Sensitive n-gram Embeddings A Poliak, P Rastogi, MP Martin, B Van Durme Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 92 | 2017 |
| A survey on recognizing textual entailment as an NLP evaluation A Poliak arXiv preprint arXiv:2010.03061, 2020 | 82 | 2020 |
| Internet Searches for Acute Anxiety During the Early Stages of the COVID-19 Pandemic JW Ayers, EC Leas, DC Johnson, A Poliak, BM Althouse, M Dredze, ... JAMA Internal Medicine, 2020 | 80 | 2020 |
| On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference Y Belinkov, A Poliak, SM Shieber, B Van Durme, A Rush Proceedings of the Eighth Joint Conference on Lexical and Computational …, 2019 | 77 | 2019 |
| Evaluating artificial intelligence responses to public health questions JW Ayers, Z Zhu, A Poliak, EC Leas, M Dredze, M Hogarth, DM Smith JAMA network open 6 (6), e2317517-e2317517, 2023 | 73 | 2023 |
| Temporal reasoning in natural language inference S Vashishtha, A Poliak, YK Lal, B Van Durme, AS White Findings of the Association for Computational Linguistics: EMNLP 2020, 4070-4078, 2020 | 49 | 2020 |
| Probing Neural Language Models for Human Tacit Assumptions N Weir, A Poliak, B Van Durme | 47* | 2020 |
| On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference A Poliak, Y Belinkov, J Glass, B Van Durme Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 45 | 2018 |
| Figurative language in recognizing textual entailment T Chakrabarty, D Ghosh, A Poliak, S Muresan arXiv preprint arXiv:2106.01195, 2021 | 38 | 2021 |
| Semantic Proto-Role Labeling A Teichert, A Poliak, B Van Durme, MR Gormley Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 2017 | 33 | 2017 |
| Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis R Cotterell, A Poliak, B Van Durme, J Eisner Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 31 | 2017 |
| Suicide-related internet searches during the early stages of the COVID-19 pandemic in the US JW Ayers, A Poliak, DC Johnson, EC Leas, M Dredze, T Caputi, ... JAMA network open 4 (1), e2034261-e2034261, 2021 | 24 | 2021 |
| Collecting verified COVID-19 question answer pairs A Poliak, M Fleming, C Costello, K Murray, M Yarmohammadi, S Pandya, ... Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020 | 20 | 2020 |
Benjamin Van DurmeJohns Hopkins University / MicrosoftE-mail megerősítve itt: jhu.edu