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Exploiting the performance of dictionary-based bio-entity name recognition in biomedical literature.

Abstract：

:Bio-entity name recognition is the key step for information extraction from biomedical literature. This paper presents a dictionary-based bio-entity name recognition approach. The approach expands the bio-entity name dictionary via the Abbreviation Definitions identifying algorithm, improves the recall rate through the improved edit distance algorithm and adopts some post-processing methods including Pre-keyword and Post-keyword expansion, Part of Speech expansion, merge of adjacent bio-entity names and the exploitation of the contextual cues to further improve the performance. Experiment results show that with this approach even an internal dictionary-based system could achieve a fairly good performance.

journal_name

Comput Biol Chem

journal_title

Computational biology and chemistry

authors

Yang Z,Lin H,Li Y

doi

10.1016/j.compbiolchem.2008.03.008

subject

Has Abstract

pub_date

2008-08-01 00:00:00

pages

287-91

issue

4

eissn

1476-9271

issn

1476-928X

pii

S1476-9271(08)00034-0

journal_volume

32

pub_type

杂志文章

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