Using predicate-argument structures for information extraction

被引：0

作者：

Surdeanu, M ^{[1
]}

Harabagiu, S ^{[1
]}

Williams, J ^{[1
]}

Aarseth, P ^{[1
]}

机构：

[1] Language Comp Corp, Richardson, TX 75080 USA

来源：

41ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE | 2003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：

In this paper we present a novel, customizable IE paradigm that takes advantage of predicate-argument structures. We also introduce a new way of automatically identifying predicate argument structures, which is central to our IE paradigm. It is based on: (1) an extended set of features; and (2) inductive decision tree learning. The experimental results prove our claim that accurate predicate-argument structures enable high quality IE results.

引用

页码：8 / 15

页数：8

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