Papers with scientific information extraction

3 papers
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction (2021.acl-long)

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Challenge: Existing work on scientific information extraction (SciIE) considers extraction solely based on the content of an individual paper, without considering the paper’s place in the broader literature.
Approach: They propose to automate the extraction of key information from scientific documents by leveraging a complementary source: the citation graph of referential links between citing and cited papers.
Outcome: The proposed model improves on a set of English-language scientific documents.
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction (D18-1)

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Challenge: Existing relation extraction systems are designed for within-sentence relations, but extracting information from scientific articles requires relations across sentences.
Approach: They propose a multi-task setup for identifying entities, relations, and coreference clusters in scientific articles . they develop a unified framework called SciIE with shared span representations to solve this problem .
Outcome: The proposed model outperforms existing models without domain-specific features in scientific information extraction.
SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions (2024.lrec-main)

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Challenge: SciDMT is an enhanced and expanded corpus for scientific mention detection . existing corpora are limited by their small volume and entity linking capabilities .
Approach: They propose to enhance SciDMT, an annotated scientific corpus for scientific mention detection.
Outcome: The proposed corpus is the largest for scientific entity mention detection . it is based on deep learning architectures like SciBERT and GPT-3.5 .

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