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On Categorial Grammatical Inference and Logical Information Systems

Annie Foret 1 Denis Béchet 2
1 SemLIS - Semantics, Logics, Information Systems for Data-User Interaction
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
2 TALN - Traitement Automatique du Langage Naturel
LS2N - Laboratoire des Sciences du Numérique de Nantes
Abstract : In this chapter, learning is viewed as a symbolic issue in an unsupervised setting,from raw or from structured data, for some variants of Lambek grammars and of categorial dependency grammars. For these frameworks, the authors present different type connectives and structures, some limitations, and some algorithms. On the experimental side, categorial grammar has potentials as a particular case of Logical Information System.
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https://hal.inria.fr/hal-02462675
Contributor : Annie Foret <>
Submitted on : Friday, January 31, 2020 - 2:33:17 PM
Last modification on : Wednesday, August 5, 2020 - 3:42:31 AM

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Annie Foret, Denis Béchet. On Categorial Grammatical Inference and Logical Information Systems. Logic and Algorithms in Computational Linguistics 2018, Series: Advances in Intelligent Systems and Computing, Volume 860, pp.125-153, 2019, ⟨10.1007/978-3-030-30077-7_6⟩. ⟨hal-02462675⟩

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