GENIA corpus—a semantically annotated corpus for bio-textmining

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ID: 295843
2003
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Abstract
Abstract Motivation: Natural language processing (NLP) methods are regarded as being useful to raise the potential of text mining from biological literature. The lack of an extensively annotated corpus of this literature, however, causes a major bottleneck for applying NLP techniques. GENIA corpus is being developed to provide reference materials to let NLP techniques work for bio-textmining. Results: GENIA corpus version 3.0 consisting of 2000 MEDLINE abstracts has been released with more than 400 000 words and almost 100 000 annotations for biological terms. Availability: GENIA corpus is freely available at http://www-tsujii.is.s.u-tokyo.ac.jp/GENIA Keywords: Text Mining, Information Extraction, Corpus, Natural Language Processing, Computational Molecular Biology *To whom correspondence should be addressed.
Reference Key
openalex_W2163107094 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors JD Kim, Tomoko Ohta, Yuka Tateisi, J Tsujii
Journal BMC Bioinformatics
Year 2003
DOI
10.1093/bioinformatics/btg1023
URL
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