Automatic recognition of multi-word terms: The C-value/NC-value method

被引：140
作者：
Frantzi K. [1 ]
Ananiadou S. [1 ]
Mima H. [2 ]
机构：
[1] Centre for Computational Linguistics, UMIST, Manchester, M60 1QD
[2] Dept. of Information Science, University of Tokyo, Bunkyo-ku, Tokyo 113
来源：
International Journal on Digital Libraries | 2000年 / 3卷 / 2期
关键词：
Automatic extraction; Automatic term recognition (ATR); Domain independence; Linguistic and statistical information; Terms;
D O I：
10.1007/s007999900023
中图分类号：
学科分类号：
摘要：
Technical terms (henceforth called terms), are important elements for digital libraries. In this paper we present a domain-independent method for the automatic extraction of multi-word terms, from machine-readable special language corpora. The method, (C-value/NC-value), combines linguistic and statistical information. The first part, C-value, enhances the common statistical measure of frequency of occurrence for term extraction, making it sensitive to a particular type of multi-word terms, the nested terms. The second part, NC-value, gives: 1) a method for the extraction of term context words (words that tend to appear with terms); 2) the incorporation of information from term context words to the extraction of terms. © 2000 Springer-Verlag.
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页码：115 / 130
页数：15
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