Exploiting strong syntactic heuristics and co-training to learn semantic lexicons

被引：0

作者：

Phillips, W ^{[1
]}

Riloff, E ^{[1
]}

机构：

[1] Univ Utah, Sch Comp, Salt Lake City, UT 84112 USA

来源：

PROCEEDINGS OF THE 2002 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING | 2002年

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：

We present a bootstrapping method that uses strong syntactic heuristics to learn semantic lexicons. The three sources of information are appositives, compound nouns, and ISA clauses. We apply heuristics to these syntactic structures, embed them in a bootstrapping architecture, and combine them with co-training. Results on WSJ articles and a pharmaceutical corpus show that this method obtains high precision and finds a large number of terms.

引用

页码：125 / 132

页数：8

共 13 条

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