Inter-sentence Relation Extraction for Associating Biological Context\n with Events in Biomedical Texts

2018/12/14 by Enrique Noriega-Atala, Paul D. Hein, Noriega-Atala, Enrique +9
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling

paper · pdf · doi:10.48550/arxiv.1812.06199

openalex publication_date 2018/12/14 · openalex created_date 2022/08/01 · openalex updated_date 2026/07/28

Abstract

We present an analysis of the problem of identifying biological context and\nassociating it with biochemical events in biomedical texts. This constitutes a\nnon-trivial, inter-sentential relation extraction task. We focus on biological\ncontext as descriptions of the species, tissue type and cell type that are\nassociated with biochemical events. We describe the properties of an annotated\ncorpus of context-event relations and present and evaluate several classifiers\nfor context-event association trained on syntactic, distance and frequency\nfeatures.\n

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