Inter-sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts
December 14, 2018 ยท Declared Dead ยท ๐ 2018 IEEE International Conference on Data Mining Workshops (ICDMW)
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Authors
Enrique Noriega-Atala, Paul D. Hein, Shraddha S. Thumsi, Zechy Wong, Xia Wang, Clayton T. Morrison
arXiv ID
1812.06199
Category
cs.CL: Computation & Language
Cross-listed
cs.LG,
stat.ML
Citations
5
Venue
2018 IEEE International Conference on Data Mining Workshops (ICDMW)
Last Checked
3 months ago
Abstract
We present an analysis of the problem of identifying biological context and associating it with biochemical events in biomedical texts. This constitutes a non-trivial, inter-sentential relation extraction task. We focus on biological context as descriptions of the species, tissue type and cell type that are associated with biochemical events. We describe the properties of an annotated corpus of context-event relations and present and evaluate several classifiers for context-event association trained on syntactic, distance and frequency features.
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