• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊
论文

Named Entity Recognition of the Products with English Based on Conditional Random Fields

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  • (1.School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650051;
    2.Institute of Intelligent Information Processing,Yunnan Provincial Computer
    Technology Application Key Laboratory,Kunming 650051,China)

Received date: 2009-09-26

  Revised date: 2009-12-21

  Online published: 2010-06-01

Abstract

Recently, as the scarce research of Named Entity Recognition of the Products with English domesticaly and abroad, this paper aims at the task of TREC 2009, and proposes a method for the Named Entity Recognition of the Products with English based on the Conditional Random Fields model. In the conditional random field, this paper adopts word as the grain processing unit; uses the context information and especial cue information of English product names  as the features of recognition, and adopts the artificially constructed dictionary to build the model. A good result has been obtained by the experiment and the accuracy rate of the English product entity recognition is up to 93.6%, and the recall rate 92.4%.

Cite this article

ZHANG Chaosheng1,GUO Jianyi1,2,XIAN Yantuan1,2,YU Zhengtao1,2,LEI Chunya1,W . Named Entity Recognition of the Products with English Based on Conditional Random Fields[J]. Computer Engineering & Science, 2010 , 32(6) : 115 -117 . DOI: 10.3969/j.issn.1007130X.2010.

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