期刊
BRIEFINGS IN BIOINFORMATICS
卷 6, 期 4, 页码 357-369出版社
OXFORD UNIV PRESS
DOI: 10.1093/bib/6.4.357
关键词
text mining; knowledge management; information extraction; machine teaming; named entity recognition
The recognition of biomedical concepts in natural text (named entity recognition, NER) is a key technology for automatic or semi-automatic analysis of textual resources. Precise NER tools are a prerequisite for many applications working on text, such as information retrieval, information extraction or document classification. Over the past years, the problem has achieved considerable attention in the bioinformatics community and experience has shown that NER in the life sciences is a rather difficult problem. Several systems and algorithms have been devised and implemented. In this paper, the problems and resources in NER research are described, the principal algorithms underlying most systems sketched, and the current state-of-the-art in the field surveyed.
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