Chemical-induced disease relation extraction via attention-based distant supervision

Volume: 20, Issue: 1
Published: Jul 22, 2019
Abstract
Automatically understanding chemical-disease relations (CDRs) is crucial in various areas of biomedical research and health care. Supervised machine learning provides a feasible solution to automatically extract relations between biomedical entities from scientific literature, its success, however, heavily depends on large-scale biomedical corpora manually annotated with intensive labor and tremendous investment. We present an attention-based...
Paper Details
Title
Chemical-induced disease relation extraction via attention-based distant supervision
Published Date
Jul 22, 2019
Volume
20
Issue
1
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.