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
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;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974861
