Tanishq Gupta — accepted AI-conference papers

2023

DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles

Tanishq Gupta, Mohd Zaki, Devanshi Khatsuriya, Kausik Hira, N M Anoop Krishnan, Mausam

ACL 2023long

A crucial component in the curation of KB for a scientific domain (e.g., materials science, food & nutrition, fuels) is information extraction from tables in the domain’s published research articles. To facilitate research in this direction, we define a novel NLP task of extracting compositions of m…

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2021

SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning

Aaron Chan, Jiashu Xu, Boyuan Long, Soumya Sanyal, Tanishq Gupta, Xiang Ren

NeurIPS 2021poster

Augmenting pre-trained language models with knowledge graphs (KGs) has achieved success on various commonsense reasoning tasks. However, for a given task instance, the KG, or certain parts of the KG, may not be useful. Although KG-augmented models often use attention to focus on specific KG componen…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗