Named Entity Recognition Approaches: A Study applied to English and Hindi Language

被引：0
|
作者：
Prasad, Gown [1 ]
Fousiya, K. K. [1 ]
机构：
[1] Jyothi Engn Coll, Comp Sci & Engn, Trichur, India
来源：
2015 INTERNATIONAL CONFERENCED ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT-2015) | 2015年
关键词：
Named entities; maximum entropy based models; conditional random field based models; support vector machines;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
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页数：4
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