Affect-driven dialog generation P Colombo, W Witon, A Modi, J Kennedy, M Kapadia arXiv preprint arXiv:1904.02793, 2019 | 159 | 2019 |
Semeval-2018 task 11: Machine comprehension using commonsense knowledge S Ostermann, M Roth, A Modi, S Thater, M Pinkal Proceedings of the 12th International Workshop on semantic evaluation, 747-757, 2018 | 135 | 2018 |
MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge S Ostermann, A Modi, M Roth, S Thater, M Pinkal Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 120 | 2018 |
ILDC for CJPE: Indian legal documents corpus for court judgment prediction and explanation V Malik, R Sanjay, SK Nigam, K Ghosh, SK Guha, A Bhattacharya, A Modi arXiv preprint arXiv:2105.13562, 2021 | 92 | 2021 |
Inducing neural models of script knowledge A Modi, I Titov Proceedings of the Eighteenth Conference on Computational Natural Language …, 2014 | 87 | 2014 |
Event Embeddings for Semantic Script Modeling A Modi CoNLL 16, 2016 | 73 | 2016 |
COGMEN: COntextualized GNN based multimodal emotion recognitioN A Joshi, A Bhat, A Jain, A Singh, A Modi Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 70 | 2022 |
Inscript: Narrative texts annotated with script information A Modi, T Anikina, S Ostermann, M Pinkal arXiv preprint arXiv:1703.05260, 2017 | 66 | 2017 |
Modeling Semantic Expectations: Using Script Knowledge for Referent Prediction A Modi, I Titov, V Demberg, A Sayeed, M Pinkal Transactions of ACL 5, 31-44, 2017 | 59 | 2017 |
An end-to-end network for emotion-cause pair extraction A Singh, S Hingane, S Wani, A Modi arXiv preprint arXiv:2103.01544, 2021 | 49 | 2021 |
Corpus for automatic structuring of legal documents P Kalamkar, A Tiwari, A Agarwal, S Karn, S Gupta, V Raghavan, A Modi arXiv preprint arXiv:2201.13125, 2022 | 47 | 2022 |
A mixture model for learning multi-sense word embeddings DQ Nguyen, DQ Nguyen, A Modi, S Thater, M Pinkal arXiv preprint arXiv:1706.05111, 2017 | 43 | 2017 |
Disney at IEST 2018: Predicting Emotions using an Ensemble W Witon, P Colombo, A Modi, M Kapadia 9th Workshop on Computational Approaches to Subjectivity, Sentiment & Social …, 2018 | 42 | 2018 |
Unsupervised induction of frame-semantic representations A Modi, I Titov, A Klementiev Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic …, 2012 | 41 | 2012 |
Adapting a language model for controlled affective text generation I Singh, A Barkati, T Goswamy, A Modi arXiv preprint arXiv:2011.04000, 2020 | 34 | 2020 |
Semantic segmentation of legal documents via rhetorical roles V Malik, R Sanjay, SK Guha, A Hazarika, S Nigam, A Bhattacharya, ... arXiv preprint arXiv:2112.01836, 2021 | 33 | 2021 |
Semeval 2023 task 6: Legaleval-understanding legal texts A Modi, P Kalamkar, S Karn, A Tiwari, A Joshi, SK Tanikella, SK Guha, ... arXiv preprint arXiv:2304.09548, 2023 | 30 | 2023 |
Learning to predict script events from domain-specific text R Rudinger, V Demberg, A Modi, B Van Durme, M Pinkal Proceedings of the Fourth Joint Conference on Lexical and Computational …, 2015 | 29 | 2015 |
IITK at SemEval-2020 task 8: Unimodal and bimodal sentiment analysis of Internet memes V Keswani, S Singh, S Agarwal, A Modi arXiv preprint arXiv:2007.10822, 2020 | 27 | 2020 |
Generating animations from screenplays Y Zhang, E Tsipidi, S Schriber, M Kapadia, M Gross, A Modi arXiv preprint arXiv:1904.05440, 2019 | 27 | 2019 |