Using predicate-argument structures for information extraction 论文

2003引用 370
Natural Language Processing TechniquesTopic ModelingSemantic Web and Ontologies

详细信息

发表日期
2003-01-01
发表年份
2003

关键词

Natural Language Processing TechniquesTopic ModelingSemantic Web and Ontologies

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.