2003 GENIAcorpus

• (Kim et al., 2003) ⇒ Jin-Dong Kim, Tomoko Ohta, Yuka Teteisi, Jun'ichi Tsujii. (2003). “GENIA Corpus - a semantically annotated corpus for bio-textmining.” In: Bioinformatics. 19(suppl. 1).

Subject Headings: GENIA Corpus, Computational Molecular Biology.

Cited By

• http://scholar.google.com/scholar?q=%222003%22+GENIA+Corpus%E2%80%94a+Semantically+Annotated+Corpus+for+Bio-textmining

Quotes

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.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2003 GENIAcorpus	Jun'ichi Tsujii Tomoko Ohta Jin-Dong Kim Yuka Teteisi			GENIA Corpus - a semantically annotated corpus for bio-textmining		Bioinformatics Subject Area	http://bioinformatics.oxfordjournals.org/cgi/content/abstract/19/suppl 1/i180			2003