title: GENIA corpus--semantically annotated corpus for bio-textmining.
abstract: BACKGROUND
  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.
authors.affiliation: CREST, Japan Science and Technology Corporation, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
authors.forename: J-D
authors.initials: JD
authors.lastname: Kim
authors.forename: T
authors.initials: T
authors.lastname: Ohta
authors.forename: Y
authors.initials: Y
authors.lastname: Tateisi
authors.forename: J
authors.initials: J
authors.lastname: Tsujii
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods*; D001695:Biology / Q000379:methods*; D019295:Computational Biology / Q000379:methods; D003628:Database Management Systems; D016206:Databases, Bibliographic; D004282:Documentation; D016247:Information Storage and Retrieval / Q000379:methods*; D016239:MEDLINE; D009323:Natural Language Processing; D010506:Periodicals as Topic; D009626:Terminology as Topic