A Silver Standard Corpus of Human Phenotype-Gene Relations
March 26, 2019 ยท Declared Dead ยท ๐ North American Chapter of the Association for Computational Linguistics
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Authors
Diana Sousa, Andre Lamurias, Francisco M. Couto
arXiv ID
1903.10728
Category
cs.CL: Computation & Language
Citations
37
Venue
North American Chapter of the Association for Computational Linguistics
Last Checked
4 months ago
Abstract
Human phenotype-gene relations are fundamental to fully understand the origin of some phenotypic abnormalities and their associated diseases. Biomedical literature is the most comprehensive source of these relations, however, we need Relation Extraction tools to automatically recognize them. Most of these tools require an annotated corpus and to the best of our knowledge, there is no corpus available annotated with human phenotype-gene relations. This paper presents the Phenotype-Gene Relations (PGR) corpus, a silver standard corpus of human phenotype and gene annotations and their relations. The corpus consists of 1712 abstracts, 5676 human phenotype annotations, 13835 gene annotations, and 4283 relations. We generated this corpus using Named-Entity Recognition tools, whose results were partially evaluated by eight curators, obtaining a precision of 87.01%. By using the corpus we were able to obtain promising results with two state-of-the-art deep learning tools, namely 78.05% of precision. The PGR corpus was made publicly available to the research community.
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