| Looking beyond the surface: A challenge set for reading comprehension over multiple sentences D Khashabi, S Chaturvedi, M Roth, S Upadhyay, D Roth Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 539 | 2018 |
| Feuding families and former friends: Unsupervised learning for dynamic fictional relationships M Iyyer, A Guha, S Chaturvedi, J Boyd-Graber, H Daumé III Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 183 | 2016 |
| Bridging the structural gap between encoding and decoding for data-to-text generation C Zhao, M Walker, S Chaturvedi Proceedings of the 58th annual meeting of the association for computational …, 2020 | 111 | 2020 |
| Story comprehension for predicting what happens next S Chaturvedi, H Peng, D Roth Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 108 | 2017 |
| Predicting Instructor’s Intervention in MOOC forums S Chaturvedi, D Goldwasser, H Daumé III Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 106 | 2014 |
| Predicting the impact of scientific concepts using full‐text features K McKeown, H Daume III, S Chaturvedi, J Paparrizos, K Thadani, P Barrio, ... Journal of the Association for Information Science and Technology 67 (11 …, 2016 | 81 | 2016 |
| Inferring interpersonal relations in narrative summaries S Srivastava, S Chaturvedi, T Mitchell Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 68 | 2016 |
| Modeling evolving relationships between characters in literary novels S Chaturvedi, S Srivastava, H Daume III, C Dyer Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 60* | 2016 |
| Named entity recognition with partially annotated training data S Mayhew, S Chaturvedi, CT Tsai, D Roth arXiv preprint arXiv:1909.09270, 2019 | 59 | 2019 |
| Unsupervised learning of evolving relationships between literary characters S Chaturvedi, M Iyyer, H Daume III Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 57 | 2017 |
| Modeling protagonist emotions for emotion-aware storytelling F Brahman, S Chaturvedi arXiv preprint arXiv:2010.06822, 2020 | 54 | 2020 |
| Lessons learned from teaching machine learning and natural language processing to high school students N Norouzi, S Chaturvedi, M Rutledge Proceedings of the AAAI conference on artificial intelligence 34 (09), 13397 …, 2020 | 52 | 2020 |
| Data cleansing techniques for large enterprise datasets KH Prasad, TA Faruquie, S Joshi, S Chaturvedi, LV Subramaniam, ... 2011 Annual SRII Global Conference, 135-144, 2011 | 44 | 2011 |
| Systems and methods for efficient development of a rule-based system using crowd-sourcing S Chaturvedi, TA Faruquie, LV Subramaniam US Patent 8,635,197, 2014 | 42 | 2014 |
| " Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding F Brahman, M Huang, O Tafjord, C Zhao, M Sachan, S Chaturvedi arXiv preprint arXiv:2109.05438, 2021 | 38 | 2021 |
| Group‐in‐a‐Box Meta‐Layouts for Topological Clusters and Attribute‐Based Groups: Space‐Efficient Visualizations of Network Communities and Their Ties S Chaturvedi, C Dunne, Z Ashktorab, R Zachariah, B Shneiderman Computer Graphics Forum 33 (8), 52-68, 2014 | 33 | 2014 |
| Unsupervised extractive opinion summarization using sparse coding SBR Chowdhury, C Zhao, S Chaturvedi arXiv preprint arXiv:2203.07921, 2022 | 28 | 2022 |
| Learner Affect through the Looking Glass: Characterization and Detection of Confusion in Online Courses. Z Zeng, S Chaturvedi, S Bhat International Educational Data Mining Society, 2017 | 28 | 2017 |
| Weakly-supervised opinion summarization by leveraging external information C Zhao, S Chaturvedi Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9644-9651, 2020 | 25 | 2020 |
| Where have i heard this story before? identifying narrative similarity in movie remakes S Chaturvedi, S Srivastava, D Roth Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 24 | 2018 |
Hal Daumé IIIAssociate Professor of Computer Science, University of Marylandumiacs.umd.edu의 이메일 확인됨
