OpenChemIE: An Information Extraction Toolkit For Chemistry Literature

arXiv:2404.01462v1 Announce Type: new
Abstract: Information extraction from chemistry literature is vital for constructing up-to-date reaction databases for data-driven chemistry. Complete extraction requires combining information across text, tables, and figures, whereas prior work has mainly investigated extracting reactions from single modalities. In this paper, we present OpenChemIE to address this complex challenge and enable the extraction of reaction data at the document level. OpenChemIE approaches the problem in two steps: extracting relevant information from individual modalities and then integrating the …

abstract arxiv challenge chemistry cs.cl cs.ir cs.lg data databases data-driven extraction information information extraction literature paper prior tables text toolkit type vital work