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The Research of Chinese Named Entity Recognition and Its Relation Extraction

Author: WenRui
Tutor: ZhuQiaoMing
School: Suzhou University
Course: Applied Computer Technology
Keywords: Information extraction Named Entity Recognition Part-of-speech tagging Relation extraction
CLC: TP391.4
Type: Master's thesis
Year: 2005
Downloads: 526
Quote: 3
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Abstract


This paper studies the Chinese named entity recognition and relation extraction , design and implementation of a system to identify and extract the names, place names and organization names WITH FIRM GUARANTEE THAT THE ENDORSEMENT , and through the SRV algorithm to achieve the profile names and E - mail extraction . The CNEE first automatic segmentation and part-of-speech tagging , and then to be identified and extracted according to the characteristics of each of the names, places and institutions name . Automatic word and part-of-speech tagging accuracy will directly affect the named entity recognition . Improved part-of-speech tagging , in the HMM marked based on the introduction of negative feedback rules to be amended , improved part-of-speech tagging accuracy rate of 96% . The experiments show that the the CNEE extraction names, place names and organization names F index reached more than 75% . SRV algorithm is a rule-based learning relation extraction algorithm, with less training samples and the advantages of high accuracy . The SRV algorithm for the extraction of names and e - mails in the personal home page , and achieved good results . Experiments prove that the the SRV algorithm for named entity relation extraction is successful and effective .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices
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