Learning Information Extraction Rules for Semi-Structured and Free Text

被引：85
作者：
Stephen Soderland
机构：
[1] University of Washington,Department Computer Science and Engineering
来源：
Machine Learning | 1999年 / 34卷
关键词：
natural language processing; information extraction; rule learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A wealth of on-line text information can be made available to automatic processing by information extraction (IE) systems. Each IE application needs a separate set of rules tuned to the domain and writing style. WHISK helps to overcome this knowledge-engineering bottleneck by learning text extraction rules automatically.
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收藏
页码：233 / 272
页数：39
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