Abstract
The World Wide Web’s vast growth contains a great variety and quantity of on-line information. People need to have the computing systems with the ability to process those documents to simplify the text information. One type of appropriate processing is called Information Extraction (IE) technology. Information extraction can be regarded as one kind of classification problems and one of the main methods to deal with the problem is pattern rule induction. Due to the uncertainty during the induction of pattern rules from natural language texts, in this paper we introduce a Fuzzy pattern Rule Induction System (FRIS) to obtain fuzzy pattern rules for information extraction from semi-structured webpages and free texts.
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Xiao, J. (2007). Fuzzy Pattern Rule Induction for Information Extraction. In: Kang, L., Liu, Y., Zeng, S. (eds) Advances in Computation and Intelligence. ISICA 2007. Lecture Notes in Computer Science, vol 4683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74581-5_70
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DOI: https://doi.org/10.1007/978-3-540-74581-5_70
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