Using lexical chains for keyword extraction

被引：176

作者：

Ercan, Gonenc ^{[1
]}

Cicekli, Ilyas ^{[1
]}

机构：

[1] Bilkent Univ, Dept Comp Engn, TR-06800 Ankara, Turkey

来源：

INFORMATION PROCESSING & MANAGEMENT | 2007年 / 43卷 / 06期

关键词：

keyword extraction; lexical chains; natural language processing; machine learning;

D O I：

10.1016/j.ipm.2007.01.015

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Keywords can be considered as condensed versions of documents and short forms of their summaries. In this paper, the problem of automatic extraction of keywords from documents is treated as a supervised learning task. A lexical chain holds a set of semantically related words of a text and it can be said that a lexical chain represents the semantic content of a portion of the text. Although lexical chains have been extensively used in text summarization, their usage for keyword extraction problem has not been fully investigated. In this paper, a keyword extraction technique that uses lexical chains is described, and encouraging results are obtained. (C) 2007 Elsevier Ltd. All rights reserved.

引用

页码：1705 / 1714

页数：10

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