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A Hybrid Approach for Relation Extraction Aimed at the Semantic Web

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4027))

Abstract

We present an approach for relation extraction from texts aimed to enrich the semantic annotations produced by a semantic web portal. The approach exploits linguistic and empirical strategies, by means of a pipeline method involving processes such as a parser, part-of-speech tagger, named entity recognition system, pattern-based classification and word sense disambiguation models, and resources such as an ontology, knowledge base and lexical databases. With the use of knowledge intensive strategies to process the input data and corpus-based techniques to deal both with unpredicted cases and ambiguity problems, we expect to accurately discover most of the relevant relations for known and new entities, in an automated way.

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© 2006 Springer-Verlag Berlin Heidelberg

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Specia, L., Motta, E. (2006). A Hybrid Approach for Relation Extraction Aimed at the Semantic Web. In: Larsen, H.L., Pasi, G., Ortiz-Arroyo, D., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2006. Lecture Notes in Computer Science(), vol 4027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11766254_48

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  • DOI: https://doi.org/10.1007/11766254_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34638-8

  • Online ISBN: 978-3-540-34639-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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