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Communication Dans Un Congrès Année : 2016

Towards a Distributional Model of Semantic Complexity

Emmanuele Chersoni
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Philippe Blache
Alessandro Lenci
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Résumé

In this paper, we introduce for the first time a Distributional Model for computing semantic complexity , inspired by the general principles of the Memory, Unification and Control framework (Hagoort, 2013; Hagoort, 2016). We argue that sentence comprehension is an incremental process driven by the goal of constructing a coherent representation of the event represented by the sentence. The composition cost of a sentence depends on the semantic coherence of the event being constructed and on the activation degree of the linguistic constructions. We also report the results of a first evaluation of the model on the Bicknell dataset (Bicknell et al., 2010).
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Dates et versions

hal-01448957 , version 1 (29-01-2017)

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  • HAL Id : hal-01448957 , version 1

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Emmanuele Chersoni, Philippe Blache, Alessandro Lenci. Towards a Distributional Model of Semantic Complexity. COLING Workshop on Computational Linguistics for Linguistic Complexity, Dec 2016, Osaka, Japan. pp.12 - 22. ⟨hal-01448957⟩
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