Exploiting the performance of dictionary-based bio-entity name recognition in biomedical literature.
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.
Yang
Zhihao
Z
Department of Computer Science and Engineering, Dalian University of Technology, 116023 Dalian, China. yangzh@dlut.edu.cn
Lin
Hongfei
H
Li
Yanpeng
Y
D000465:Algorithms; D015706:Bibliometrics; D035843:Biomedical Research; D016206:Databases, Bibliographic; D004014:Dictionaries as Topic; D016247:Information Storage and Retrieval / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010506:Periodicals as Topic