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Rules and Fuzzy Rules in Text: Concept, Extraction and Usage by D.H. Kraft; M.J. Martı́n-Bautista; J. Chen; D. Sánchez is a Computer Science article available to read on EtoBox.

What is Rules and Fuzzy Rules in Text: Concept, Extraction and Usage about?

Several concepts and techniques have been imported from other disciplines such as Machine Learning and Artificial Intelligence to the field of textual data. In this paper, we focus on the concept of rule and the management of uncertainty in text applications. The different structures considered for the construction of the rules, the extraction of the knowledge base and the applications and usage of these rules are detailed. We include a review of the most relevant works of the different types of rules based on their representation and their application to most of the common tasks of Information Retrieval such as categorization, indexing and classification.

Who reads Rules and Fuzzy Rules in Text: Concept, Extraction and Usage?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
D.H. Kraft; M.J. Martı́n-Bautista; J. Chen; D. Sánchez
Publisher
Elsevier Science; Elsevier ; Elsevier BV (ISSN 0888-613X)
Published
2003
Language
EN
Field
Computer Science (Physical Sciences)

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