Abstract
In this paper, we present a methodology for building a lexically and semantically-rich resource for paraphrase processing on French. The paraphrase extraction model is rule-based and is guided by means of predicates. The extraction process comprises 4 main processing modules: 1. derived words extraction; 2. sentences extraction; 3. chunking & head word identification, and 4. predicate-argument structure mapping. We use the corpus provided by an agro-food industry enterprise to test the 4 modules of the paraphrase structures extractor. We explain how each processing module functions.
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Kampeera, W., Cardey-Greenfield, S. (2012). Building a Lexically and Semantically-Rich Resource for Paraphrase Processing. In: Isahara, H., Kanzaki, K. (eds) Advances in Natural Language Processing. JapTAL 2012. Lecture Notes in Computer Science(), vol 7614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33983-7_14
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DOI: https://doi.org/10.1007/978-3-642-33983-7_14
Publisher Name: Springer, Berlin, Heidelberg
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