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.

引用

页码：115 / 130

页数：15

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