| Multi-news: A large-scale multi-document summarization dataset and abstractive hierarchical model AR Fabbri, I Li, T She, S Li, DR Radev arXiv preprint arXiv:1906.01749, 2019 | 189 | 2019 |
| Summeval: Re-evaluating summarization evaluation AR Fabbri, W Kryściński, B McCann, C Xiong, R Socher, D Radev Transactions of the Association for Computational Linguistics 9, 391-409, 2021 | 99 | 2021 |
| Scisummnet: A large annotated corpus and content-impact models for scientific paper summarization with citation networks M Yasunaga, J Kasai, R Zhang, AR Fabbri, I Li, D Friedman, DR Radev Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7386-7393, 2019 | 99 | 2019 |
| Sarcasm analysis using conversation context D Ghosh, AR Fabbri, S Muresan Computational Linguistics 44 (4), 755-792, 2018 | 49 | 2018 |
| The role of conversation context for sarcasm detection in online interactions D Ghosh, AR Fabbri, S Muresan arXiv preprint arXiv:1707.06226, 2017 | 45 | 2017 |
| Template-based question generation from retrieved sentences for improved unsupervised question answering AR Fabbri, P Ng, Z Wang, R Nallapati, B Xiang arXiv preprint arXiv:2004.11892, 2020 | 34 | 2020 |
| Tutorialbank: A manually-collected corpus for prerequisite chains, survey extraction and resource recommendation AR Fabbri, I Li, P Trairatvorakul, Y He, WT Ting, R Tung, C Westerfield, ... arXiv preprint arXiv:1805.04617, 2018 | 29 | 2018 |
| CoSQL: A conversational text-to-SQL challenge towards cross-domain natural language interfaces to databases T Yu, R Zhang, HY Er, S Li, E Xue, B Pang, XV Lin, YC Tan, T Shi, Z Li, ... arXiv preprint arXiv:1909.05378, 2019 | 28 | 2019 |
| What should i learn first: Introducing lecturebank for nlp education and prerequisite chain learning I Li, AR Fabbri, RR Tung, DR Radev Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6674-6681, 2019 | 25 | 2019 |
| Improving zero and few-shot abstractive summarization with intermediate fine-tuning and data augmentation AR Fabbri, S Han, H Li, H Li, M Ghazvininejad, S Joty, D Radev, ... arXiv preprint arXiv:2010.12836, 2020 | 21 | 2020 |
| Creating a neural pedagogical agent by jointly learning to review and assess Y Lee, Y Choi, J Cho, AR Fabbri, H Loh, C Hwang, Y Lee, SW Kim, ... arXiv preprint arXiv:1906.10910, 2019 | 13 | 2019 |
| Improving low-resource cross-lingual document retrieval by reranking with deep bilingual representations R Zhang, C Westerfield, S Shim, G Bingham, A Fabbri, N Verma, W Hu, ... arXiv preprint arXiv:1906.03492, 2019 | 13 | 2019 |
| Convosumm: Conversation summarization benchmark and improved abstractive summarization with argument mining AR Fabbri, F Rahman, I Rizvi, B Wang, H Li, Y Mehdad, D Radev arXiv preprint arXiv:2106.00829, 2021 | 10 | 2021 |
| R-vgae: Relational-variational graph autoencoder for unsupervised prerequisite chain learning I Li, A Fabbri, S Hingmire, D Radev arXiv preprint arXiv:2004.10610, 2020 | 9 | 2020 |
| The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation. O Rambow, T Yu, A Radeva, AR Fabbri, C Hidey, T Peng, KR McKeown, ... TAC, 2016 | 7 | 2016 |
| QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization AR Fabbri, CS Wu, W Liu, C Xiong arXiv preprint arXiv:2112.08542, 2021 | 3 | 2021 |
| Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand J Kasai, K Sakaguchi, RL Bras, L Dunagan, J Morrison, AR Fabbri, Y Choi, ... arXiv preprint arXiv:2112.04139, 2021 | 3 | 2021 |
| AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization AR Fabbri, X Wu, S Iyer, H Li, M Diab arXiv preprint arXiv:2111.06474, 2021 | 3* | 2021 |
| Practical Guide to Natural Language Processing for Radiology A Mozayan, AR Fabbri, M Maneevese, I Tocino, S Chheang RadioGraphics 41 (5), 1446-1453, 2021 | 2 | 2021 |
| Zero-shot transfer learning for semantic parsing J Dadashkarimi, A Fabbri, S Tatikonda, DR Radev arXiv preprint arXiv:1808.09889, 2018 | 2 | 2018 |
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
