Learning Information Extraction Rules for Semi-Structured and Free Text

作者:Stephen Soderland

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.

论文关键词:natural language processing, information extraction, rule learning

论文评审过程:

论文官网地址:https://doi.org/10.1023/A:1007562322031