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Found 3 papers, 3 papers with code
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles
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 published research articles.
MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction
Here, we present a materials-aware language model, namely, MatSciBERT, which is trained on a large corpus of scientific literature published in the materials domain.
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
and fine (Which nodes/paths in the KG are useful?)
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