DocumentCode :
3172188
Title :
Named entity recognition approaches: A study applied to English and Hindi language
Author :
Prasad, Gowri ; Fousiya, K.K.
Author_Institution :
Comput. Sci. & Eng., Jyothi Eng. Coll., Thrissur, India
fYear :
2015
fDate :
19-20 March 2015
Firstpage :
1
Lastpage :
4
Abstract :
Named Entity Recognition is the technique of identifying named entities which are present in documents like names of persons, percentage values, organization names, locations etc. Named Entity Recognition is used for information extraction. There are different approaches for performing the process of named entity recognition. This paper makes a comparative study of different approaches for named entity recognition applied to English and Hindi language corpus. This study is conducted with a view to extend the work and developing an efficient method for named entity recognition in Malayalam language.
Keywords :
document handling; natural language processing; support vector machines; English language; Hindi language; Malayalam language; information extraction; named entity recognition approaches; Computers; Context; Entropy; Hidden Markov models; Mathematical model; Support vector machines; Training; Named entities; conditional random field based models; maximum entropy based models; support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on
Conference_Location :
Nagercoil
Type :
conf
DOI :
10.1109/ICCPCT.2015.7159443
Filename :
7159443
Link To Document :
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