ArticleDatabase : the journal of biological databases and curation2016
Coreference resolution improves extraction of Biological Expression Language statements from texts.
Article in Database : the journal of biological databases and curation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Quality Matters: Biocuration Experts on the Impact of Duplication and Other Data Quality Issues in Biological Databases.Genomics, proteomics & bioinformatics · 2020Article
- BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics.Database : the journal of biological databases and curation · 2018Article
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5 authors.
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Abstract
We describe a system that automatically extracts biological events from biomedical journal articles, and translates those events into Biological Expression Language (BEL) statements. The system incorporates existing text mining components for coreference resolution, biological event extraction and a previously formally untested strategy for BEL statement generation. Although addressing the BEL track (Track 4) at BioCreative V (2015), we also investigate how incorporating coreference resolution might impact event extraction in the biomedical domain. In this paper, we report that our system achieved the best performance of 20.2 and 35.2 in F-score for the full BEL statement level on both stage 1, and stage 2 using provided gold standard entities, respectively. We also report that our results evaluated on the training dataset show benefit from integrating coreference resolution with event extraction.
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