Automatic keyword extraction using domain knowledge

被引：0
|
作者：
Hulth, A
Karlgren, J
Jonsson, A
Boström, H
Asker, L
机构：
[1] Stockholm Univ, Dept Comp & Syst Sci, SE-16440 Kista, Sweden
[2] Swedish Inst Comp Sci, SE-16429 Kista, Sweden
[3] Virtual Genet Lab AB, SE-17177 Stockholm, Sweden
来源：
COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING | 2001年 / 2004卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Documents can be assigned keywords by frequency analysis of the terms found in the document text, which arguably is the primary source of knowledge about the document itself. By including a hierarchically organised domain specific thesaurus as a second knowledge source the quality of such keywords was improved considerably, as measured by match to previously manually assigned keywords. In the presented experiment, the combination of the evidence from frequency analysis and the hierarchically organised thesaurus was done using inductive logic programming.
引用
收藏
页码：472 / 482
页数：11
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