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