Sayontan Ghosh

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 8

Top Topics

Deeper Understanding

Temporal Structure

Perceptual Information

Question Answering

Top Venues

Publications

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 (2023)
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)
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)
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)
Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian
PASTA: A Dataset for Modeling Participant States in Narratives. CoRR (2022)
Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events. CoRR (2022)
Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian
Distilling Knowledge from Language Models for Video-based Action Anticipation. CoRR (2022)
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)