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A Continuum-based Model of Lexical Acquisition

Abstract : The automatic acquisition of verbal constructions is an important issue for natural language processing. In this paper, we have a closer look at two fundamental aspects of the description of the verb: the notion of lexical item and the distinction between arguments and adjuncts. Following up on studies in natural language processing and linguistics, we embrace the double hypothesis i) of a continuum between ambiguity and vagueness, and ii) of a continuum between arguments and adjuncts. We provide a complete approach to lexical knowledge acquisition of verbal constructions from an untagged news corpus. The approach is evaluated through the analysis of a sample of the 7,000 Japanese verbs automatically described by the system.
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Contributor : Thierry Poibeau <>
Submitted on : Friday, October 7, 2016 - 3:31:02 PM
Last modification on : Tuesday, January 5, 2021 - 5:28:07 PM
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  • HAL Id : hal-01349563, version 1



Pierre Marchal, Thierry Poibeau. A Continuum-based Model of Lexical Acquisition. CICLing Conference on Intelligent Text Processing and Computational Linguistics, Apr 2016, Konya, Turkey. ⟨hal-01349563⟩



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