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Named Entity Recognition using Machine Learning Techniques for Telugu language

M.Humera KhanamMd.A.KhudhusM.S.Prasad Babu

Dept.of Computer Science and Engineering Sri Venkateswara University College of EngineeringBharat Sanchar Nigam LimitedDept.of CSE AU College of Engineering

摘要:In this paper,we depict hybrid approach,i.e.,combination of rule based approach and machine learning techniques,i.e Conditional Random Fields(CRF) for Named Entity Recognition(NER).The main objective of Named Entity Recognition is to categorize all Named Entities(NE) in a document into predefined classes like Person name,Location name,Organization name.This paper first outlines the Named Entity Recognizer using rule based approach.In this approach we prepared Gazette lists for names of persons,locations and organizations,some suffix and prefix features and dictionary consist of 200000 words to recognize the category of names entities.Further,we used Machine learning technique,i.e.,CRF in order to improve the accuracy of the system.
会议名称:

2016 IEEE 7th International Conference on Software Engineering and Service Science

会议时间:

2016-08-26

会议地点:

中国北京

  • 专辑:

    哲学与人文科学; 信息科技

  • 专题:

    中国语言文字; 自动化技术

  • 分类号:

    H030;TP181

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