GENIA corpus-a semantically annotated corpus for bio-textmining

被引：577

作者：

Kim, J-D ^{[1
]}

Ohta, T. ^{[2
]}

Tateisi, Y. ^{[1
]}

Tsujii, J. ^{[1
,2
]}

机构：

[1] Japan Sci & Technol Corp, CREST, Bunkyo Ku, Tokyo 1130033, Japan

[2] Univ Tokyo, Dept Comp Sci, Bunkyo Ku, Tokyo 1130033, Japan

来源：

BIOINFORMATICS | 2003年 / 19卷

关键词：

Text Mining; Information Extraction; Corpus; Natural Language Processing; Computational Molecular Biology;

D O I：

10.1093/bioinformatics/btg1023

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：i180 / i182

页数：3