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Scientific information extraction (SciIE), which aims to automatically extract information from scientific literature, is becoming more important than ever.
Chemdataextractor: a toolkit for automated extraction of chemical information from the scientific literature
Matthew C Swain and Jacqueline M Cole. 2016 · 1904
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Auto-generated materials database of curie and néel temperatures via semi-supervised relationship extraction
Callum J Court and Jacqueline M Cole. 2018 · 2018
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Hiroki Nakayama, Takahiro Kubo, Junya Kamura, Yasufumi Taniguchi, and Xu Liang. 2018 · 2018
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Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
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Extracting material property measurement data from scientific articles
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CitationIE: Leveraging the citation graph for scientific information extraction
Vijay Viswanathan, Graham Neubig, and Pengfei Liu. 2021 · 2021
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ChemNER: Fine-grained chemistry named entity recognition with ontology-guided distant supervision
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Identification of tasks, datasets, evaluation metrics, and numeric scores for scientific leaderboards construction
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Document-level n-ary relation extraction with multiscale representation learning
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A general framework for information extraction using dynamic span graphs
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Recent advances and applications of machine learning in solid-state materials science
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Named entity recognition and normalization applied to large-scale information extraction from the materials science literature
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The SOFC-exp corpus and neural approaches to information extraction in the materials science domain
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A dataset for n-ary relation extraction of drug combinations
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