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On Categorial Grammatical Inference and Logical Information Systems
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In: Logic and Algorithms in Computational Linguistics 2018, Series: Advances in Intelligent Systems and Computing, Volume 860 ; https://hal.inria.fr/hal-02462675 ; 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⟩ (2019)
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Abstract:
International audience ; 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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Keyword:
[INFO.EIAH]Computer Science [cs]/Technology for Human Learning; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SCCO.LING]Cognitive science/Linguistics
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URL: https://hal.inria.fr/hal-02462675
https://doi.org/10.1007/978-3-030-30077-7_6
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