DocumentCode :
3301606
Title :
Biological Entity Boundary Detection Using ME Model
Author :
Wang, Jian ; Ju, Zhenfei ; Zhu, Fei
Author_Institution :
Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou, China
fYear :
2011
fDate :
19-21 May 2011
Firstpage :
1
Lastpage :
3
Abstract :
The maximum entropy model as a statistical method is effectively used in many fields. It has many features: for example, subtle features can be controlled, reusable, simple and so easy to understand and so on. This model was first introduced during the sentence segmentation. In this paper, an example of the introduction of the concept of maximum entropy model, about the maximum entropy model was applied to biomedical text sentence split. In addition, compared to the general sentence segmentation to the ME model, to illustrate the advantages of the introduction of maximum entropy model.
Keywords :
maximum entropy methods; medical computing; natural language processing; statistical analysis; text analysis; biological entity boundary detection; biomedical text sentence split; maximum entropy model; sentence segmentation; statistical method; Bayesian methods; Bioinformatics; Biological system modeling; Computational modeling; Conferences; Entropy; Protein engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Management (CAMAN), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9282-4
Type :
conf
DOI :
10.1109/CAMAN.2011.5778756
Filename :
5778756
Link To Document :
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