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A Novel Method for Chinese Named Entity Recognition Based on Character Vector

  • Jing LuEmail author
  • Mao Ye
  • Zhi Tang
  • Xiao-Jun Huang
  • Jia-Le Ma
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 163)

Abstract

In this paper, a novel method using for Chinese named entity recognition is proposed. For each class, A posteriori probability model is acquired by combing probabilistic model and character vector, which are acquired from each class by using training data. After segment Chinese sentence into words, the posteriori probability of every words in each class can be calculated by using model we proposed, and thus the type of word could be determined according to maximum posteriori probability.

Keywords

Named entity recognition Word vector Character vector 

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Copyright information

© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016

Authors and Affiliations

  • Jing Lu
    • 1
    • 2
    • 3
    Email author
  • Mao Ye
    • 2
  • Zhi Tang
    • 1
    • 2
  • Xiao-Jun Huang
    • 2
  • Jia-Le Ma
    • 2
  1. 1.Institute of Computer Science and TechnologyPeking UniversityBeijingChina
  2. 2.State Key Laboratory of Digital Publishing TechnologyPeking University Founder Group Co., Ltd.BeijingChina
  3. 3.Postdoctoral Workstation of the Zhongguancun Haidian Science ParkBeijingChina

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