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Simple K-star Categorial Dependency Grammars and their Inference
In: The 13th International Conference on Grammatical Inference (ICGI) ; https://hal.archives-ouvertes.fr/hal-01363393 ; The 13th International Conference on Grammatical Inference (ICGI), Oct 2016, Delft, Netherlands ; http://icgi2016.tudelft.nl/ (2016)
Abstract: International audience ; We propose a novel subclass in the family of Categorial Dependency Grammars (CDG), based on a syntactic criterion on categorial types associated to words in the lexicon and study its learnability. This proposal relies on a linguistic principle and relates to a former non-constructive condition on iterated dependencies. We show that the projective CDG in this subclass are incrementally learnable in the limit from dependency structures. In contrast to previous proposals, our criterion is both syntactic and does not impose a (rigidity) bound on the number of categorial types associated to a word.
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; Categorial grammar; Computational linguistics; Context-free languages; Dependency grammar; Dependency Treebanks; Grammatical inference; Incremental learning; Iterated dependencies
URL: https://hal.archives-ouvertes.fr/hal-01363393/document
https://hal.archives-ouvertes.fr/hal-01363393
https://hal.archives-ouvertes.fr/hal-01363393/file/main-ICGI-2016.pdf
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