When the Generative Lexicon meets Computational Semantics
MARLET, Renaud
Linguistic signs, grammar and meaning: computational logic for natural language [SIGNES]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Linguistic signs, grammar and meaning: computational logic for natural language [SIGNES]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
MARLET, Renaud
Linguistic signs, grammar and meaning: computational logic for natural language [SIGNES]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
< Leer menos
Linguistic signs, grammar and meaning: computational logic for natural language [SIGNES]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Idioma
en
Communication dans un congrès
Este ítem está publicado en
4th International Workshop on Generative Approaches to the Lexicon (GL 2007), 4th International Workshop on Generative Approaches to the Lexicon (GL 2007), 4th International Workshop on Generative Approaches to the Lexicon (GL 2007), 2007-05-10, Paris. 2007-05p. electronique
Resumen en inglés
Computational semantics and lexical semantics have so far mostly been studied separately. As a result, computational semantics often constructs meanings with poor or little lexical sense, while lexical semantics generally ...Leer más >
Computational semantics and lexical semantics have so far mostly been studied separately. As a result, computational semantics often constructs meanings with poor or little lexical sense, while lexical semantics generally only apply to simple and small phrases (as opposed to complete sentences). We present here a general framework to incorporate lexical semantics information originating from a generative lexicon into a standard analysis of computational semantics. This framework is illustrated on two examples, covering type coercion and selective binding. In this framework, the coupling between the analysis and the lexicon is kept low to facilitate separate evolutions and to adapt to the partial availability of lexical semantics information.< Leer menos
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