DocumentCode
2476612
Title
A hybrid strategy to protein name recognition
Author
Wang, Haochang ; Zhao, Tiejun
Author_Institution
Coll. of Comput. & Inf. Technol., Daqing Pet. Inst., Daqing
fYear
2008
fDate
25-27 June 2008
Firstpage
627
Lastpage
632
Abstract
This paper presents a comprehensive approach to identifying protein name in biomedical texts. The new method integrated the generalized Winnow algorithm and the heuristic rules to implement of initial detection of protein name. Moreover, the system introduced a statistic method to analyses the reliability of recognized protein boundary, which can be then used for expanding protein boundary which has low confidence. The experimental results show that this algorithm improves the whole performance for protein name recognition and that effective performance can be achieved in identifying boundary of protein name.
Keywords
bibliographic systems; data mining; feature extraction; medical information systems; proteins; statistical analysis; text analysis; MEDLINE; biomedical text; feature selection; generalized Winnow algorithm; heuristic rule; name entity recognition; protein name boundary recognition; statistical method; text mining; Amino acids; Automatic speech recognition; Automation; Biomedical computing; Educational institutions; Information technology; Intelligent control; Petroleum; Proteins; Text recognition; Generalized Winnow; boundary expansion; feature selection; name entity recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4592995
Filename
4592995
Link To Document