Named Entity Recognition for Tibetan Texts Using Case-auxiliary Grammars

被引：0

作者：

Yu, Hongzhi ^{[1
]}

Jiang, Tao ^{[1
]}

Ma, Ning ^{[1
]}

机构：

[1] NW Univ Nationalities, Key Lab Natl Languages Informat Technol, Lanzhou 730030, Gansu, Peoples R China

来源：

INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS (IMECS 2010), VOLS I-III | 2010年

关键词：

named entity recognition; case-auxiliary words; Tibetan texts; name lexicon;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Tibetan named entity recognition, which is an important part in multilingual processing, is one of the challenging tasks of text mining. In this paper, we present a recognition system of Tibetan person name using a rule-based model based on case-auxiliary word and lexicon, and also adapt boundary information list static from large corpus to improve recognition. In addition, our experiments shows that recall rate and precise rate are respectively 90.13% and 94.02% in the newspaper corpus, 85.67% and 88.20% in the website text.

引用

页码：601 / 604

页数：4

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