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BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples


Oct 26, 2022
Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian

* Accepted to Findings of EMNLP 2022, Data and evaluation suite available at https://stonybrooknlp.github.io/BioNLI/ 

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Distilling Knowledge from Language Models for Video-based Action Anticipation


Oct 12, 2022
Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian


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PASTA: A Dataset for Modeling Participant States in Narratives


Jul 31, 2022
Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian


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Teaching Broad Reasoning Skills via Decomposition-Guided Contexts


May 25, 2022
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal


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Learning for Expressive Task-Related Sentence Representations


May 24, 2022
Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian

* 12 pages, 2 figures 

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Human Language Modeling


May 10, 2022
Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz


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SuMe: A Dataset Towards Summarizing Biomedical Mechanisms


May 10, 2022
Mohaddeseh Bastan, Nishant Shankar, Mihai Surdeanu, Niranjan Balasubramanian

* Accepter at LREC2022 

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MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection


Sep 16, 2021
Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz


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Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension


Sep 14, 2021
Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui

* Accepted to EMNLP2021 Long Paper (Main Track) 

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MuSiQue: Multi-hop Questions via Single-hop Question Composition


Aug 02, 2021
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal


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