文章基本信息

标题：Named Entity Recognition Using Hidden Markov Model (HMM): An Experimental Result on Hindi, Urdu and Marathi Languages
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作者：Sudha Morwal ; Nusrat Jahan
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：4
出版社：S.S. Mishra
摘要：Named Entity Recognition is the process to detect Named Entities (NEs) in a file , document or from a corpus and to categorize them into certain Named entity classes like name of city, State, Country, organization, person, location, sport, river, quantity etc. In this paper our main objective is to perform Named Entity Recognition in Natural languages using Hidden Markov Model (HMM) and provide ways to increase accuracy and the Performance Metrics (Precision, Recall, F-Measure). Named entity recognition (NER) is one of the applications of Natural Language Processing and is considered as the subtask of information retrieval. In this paper we discuss about NER, brief introduction about its approaches and some experimental result on Indian Languages like Hindi, Urdu and Marathi using HMM.
关键词：Named Entity recognition (NER); Hidden Markov Model (HMM); Accuracy; Named Entities (NEs); ;Indian Language (IL) .