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Sayontan Ghosh
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2020 – today
- 2023
- [j1]Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian:
PASTA: A Dataset for Modeling PArticipant STAtes in Narratives. Trans. Assoc. Comput. Linguistics 11: 1283-1300 (2023) - [c4]Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian:
Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation. EACL (Findings) 2023: 1837-1852 - [c3]Sugam Devare, Mahnaz Koupaee, Gautham Gunapati, Sayontan Ghosh, Sai Vallurupalli, Yash Kumar Lal, Francis Ferraro, Nathanael Chambers, Greg Durrett, Raymond J. Mooney, Katrin Erk, Niranjan Balasubramanian:
SAGEViz: SchemA GEneration and Visualization. EMNLP (Demos) 2023: 328-335 - 2022
- [c2]Sai Vallurupalli, Sayontan Ghosh, Katrin Erk
, Niranjan Balasubramanian, Francis Ferraro:
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events. EMNLP 2022: 8674-8697 - [c1]Sayontan Ghosh, Amanpreet Singh, Alex Merenstein, Wei Su, Scott A. Smolka, Erez Zadok, Niranjan Balasubramanian:
SpecNFS: A Challenge Dataset Towards Extracting Formal Models from Natural Language Specifications. LREC 2022: 2166-2176 - [i3]Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian:
PASTA: A Dataset for Modeling Participant States in Narratives. CoRR abs/2208.00329 (2022) - [i2]Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian:
Distilling Knowledge from Language Models for Video-based Action Anticipation. CoRR abs/2210.05991 (2022) - [i1]Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro:
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events. CoRR abs/2212.02629 (2022)
Coauthor Index
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