Automatic extraction of materials and properties from superconductors scientific literature. (arXiv:2210.15600v2 [cs.CL] UPDATED)

The automatic extraction of materials and related properties from the
scientific literature is gaining attention in data-driven materials science
(Materials Informatics). In this paper, we discuss Grobid-superconductors, our
solution for automatically extracting superconductor material names and
respective properties from text. Built as a Grobid module, it combines machine
learning and heuristic approaches in a multi-step architecture that supports
input data as raw text or PDF documents. Using Grobid-superconductors, we built
SuperCon2, a database of 40324 materials and properties records from …

arxiv extraction literature materials superconductors