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Sayontan Ghosh
Sayontan Ghosh
Verified email at cs.stonybrook.edu
Title
Cited by
Cited by
Year
Text-derived knowledge helps vision: A simple cross-modal distillation for video-based action anticipation
S Ghosh, T Aggarwal, M Hoai, N Balasubramanian
arXiv preprint arXiv:2210.05991, 2022
5*2022
Transductive transfer learning using autoencoders
S Ghosh
PQDT-Global, 2016
32016
Specnfs: A challenge dataset towards extracting formal models from natural language specifications
S Ghosh, A Singh, A Merenstein, W Su, SA Smolka, E Zadok, ...
Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022
22022
PASTA: A Dataset for Modeling PArticipant STAtes in Narratives
S Ghosh, M Koupaee, I Chen, F Ferraro, N Chambers, ...
Transactions of the Association for Computational Linguistics 11, 1283-1300, 2023
12023
POQue: Asking participant-specific outcome questions for a deeper understanding of complex events
S Vallurupalli, S Ghosh, K Erk, N Balasubramanian, F Ferraro
arXiv preprint arXiv:2212.02629, 2022
12022
SAGEViz: SchemA GEneration and Visualization
S Devare, M Koupaee, G Gunapati, S Ghosh, S Vallurupalli, YK Lal, ...
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
2023
Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events
S Vallurupalli, S Ghosh, K Erk, N Balasubramian, F Ferraro
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
2022
Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events
S Vallurupalli, S Ghosh, K Erk, N Balasubramian, F Ferraro
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
2022
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