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文章基本信息

  • 标题:Named Entity Recognition for Telugu Using Maximum Entropy Model
  • 本地全文:下载
  • 作者:G.V.S.raju ; B.srinivasu ; Dr.S.viswanadha Raju
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2010
  • 卷号:13
  • 期号:02
  • 出版社:Journal of Theoretical and Applied
  • 摘要:

    This paper describes a maximum entropy named entity(Identifying and classifying personal, location, organization or other names) recognition system for Telugu language. Named entity (N.E) recognition is a form of information extraction in which we seek to classify every word in a document as being a person-name, organization name, location name, date or none of the above. Named entity recognition is an important task for many NLP applications.

  • 关键词:Named Entity Recognition; Maximum Entropy; Named Entity; NLP; Telugu
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