3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CL2022★ 3 cited
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles
Tanishq Gupta, Mohd Zaki, Devanshi Khatsuriya +3
A crucial component in the curation of KB for a scientific domain (e.g., materials science, foods & nutrition, fuels) is information extraction from tables in the domain's publishe…
cs.CL2021★ 2 cited
MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction
Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan +1
An overwhelmingly large amount of knowledge in the materials domain is generated and stored as text published in peer-reviewed scientific literature. Recent developments in natural…
cs.CL2021★ 1 cited
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
Aaron Chan, Jiashu Xu, Boyuan Long +3
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 certa…