Extracting subcategorisation information from Maurice Gross' grammar lexicon

Claire Gardent 1 Bruno Guillaume 2 Guy Perrier 2 Ingrid Falk 3
1 LANGUE ET DIALOGUE - Human-machine dialogue with a significant language component
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 CALLIGRAMME - Linear logic, proof networks and categorial grammars
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Maurice Gross' grammar lexicon contains rich and exhaustive information about the morphosyntactic and semantic properties of French syntactic functors (verbs, adjectives, nouns). Yet its use within natural language processing systems is hampered both by its non standard encoding and by a structure that is partly implicit and partly underspecified. In this paper, we present a method for translating this information into a format more amenable for use by NLP systems, we discuss the results obtained so far, we compare our approach with related work and we identify the possible further uses that can be made of the reformatted information.
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https://hal.inria.fr/inria-00000985
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Submitted on : Tuesday, January 10, 2006 - 2:03:02 PM
Last modification on : Thursday, January 11, 2018 - 6:24:27 AM

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Claire Gardent, Bruno Guillaume, Guy Perrier, Ingrid Falk. Extracting subcategorisation information from Maurice Gross' grammar lexicon. Archives of Control Sciences, Polish Academy of Sciences, 2005, pp.289--300. ⟨inria-00000985⟩

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