DocumentCode
2623838
Title
Comparative study of HMM and MEM in Named Entity Recognition
Author
Niu, Xiaoying ; Jiang, Zongli
Author_Institution
Sch. of Comput. Sci., Beijing Univ. of Technol., Beijing, China
fYear
2011
fDate
27-29 June 2011
Firstpage
1150
Lastpage
1153
Abstract
Based on the needs of Named Entity Recognition, this paper discusses the comparative experiment in the same environment about HMM and MEM. After in-depth analyzing the characteristic and application in named entity recognition of the two models, merits and shortcomings are proposed. As the shortcomings of existing models are pointed, the future direction of further research is explored.
Keywords
hidden Markov models; maximum entropy methods; text analysis; HMM; MEM; named entity recognition; Computational modeling; Data mining; Educational institutions; Entropy; Hidden Markov models; Markov processes; Natural languages; Comparative experiment; HMM; MEM; Named Entity Recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9762-1
Type
conf
DOI
10.1109/CSSS.2011.5974861
Filename
5974861
Link To Document