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Identification de relations sémantiques dans des textes scientifiques et techniques en exploitant le raisonnement à partir de cas

Abstract : Our approach provides a semantic interpretation of an utterance in natural language, which can be used in a textual data mining process. This analysis relies on case-based reasoning principles. The semantic interpretation of an utterance consists in identifying the semantic relation expressed by this utterance and its arguments. Semantic relations have an important contribution to a sense of a texte in natural language, and they link concepts in an ontologie. The analysis in our model is based on several types of knowledge: domaine knowledge (an ontology), linguistic knowledge, (transformations and adaptation functions) and experimental knowledge (a case base). We adopt a case-based reasoning model founded on the classification principles and paths of similarity in order to guarantee the adaptability. We have tested the model on two corpuses : the first is a corpus of texts in the domain of profesionnal stress, and the second is a corpus of texts in agriculture.
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http://docnum.univ-lorraine.fr/prive/SCD_T_2003_0192_CHAKKOUR.pdf
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https://hal.univ-lorraine.fr/tel-01746803
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Submitted on : Thursday, March 29, 2018 - 10:45:08 AM
Last modification on : Saturday, October 16, 2021 - 11:26:08 AM

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  • HAL Id : tel-01746803, version 1

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Fairouz Arina Chakkour. Identification de relations sémantiques dans des textes scientifiques et techniques en exploitant le raisonnement à partir de cas. Autre [cs.OH]. Université Henri Poincaré - Nancy 1, 2003. Français. ⟨NNT : 2003NAN10192⟩. ⟨tel-01746803⟩

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