Document (#21245)

Author
Cardie, C.
Title
Empirical methods in information extraction
Source
AI magazine. 18(1997) no.4, S.65-79
Year
1997
Abstract
Surveys the use of empirical, machine-learning methods for information extraction. Presents a generic architecture for information extraction systems and surveys the learning algorithms that have been developed to address the problems of accuracy, portability, and knowledge acquisition for each component of the architecture
Footnote
Contribution to a special section reviewing recent research in empirical methods in speech recognition, syntactic parsing, semantic processing, information extraction and machine translation
Theme
Data Mining

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