Rafael Pedraza-Jimenez

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1. Introduction 2. Problems with natural language processing: linguistic variation and ambiguity 3. Natural Language processing in textual information retrieval 3.1. Statistical processing of natural language 3.2. Linguistic processing of natural language 4. Related topics in research 5. Conclusions 6. Acknowledgments 7. References 8. Annexe 1. Unique cases(More)
This paper analyzes and evaluates, in the context of Ontology learning, some techniques to identify and extract candidate terms to classes of a taxonomy. Besides, this work points out some inconsistencies that may be occurring in the preprocessing of text corpus, and proposes techniques to obtain good terms candidate to classes of a taxonomy.
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