Document Type
Conference Proceeding
Publication Date
11-1-2003
Abstract
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. © 2003 Elsevier Inc. All rights reserved.
Publication Source (Journal or Book title)
International Journal of Approximate Reasoning
First Page
145
Last Page
161
Recommended Citation
Kraft, D., Martín-Bautista, M., Chen, J., & Sánchez, D. (2003). Rules and fuzzy rules in text: Concept, extraction and usage. International Journal of Approximate Reasoning, 34 (2-3), 145-161. https://doi.org/10.1016/j.ijar.2003.07.005