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        <title>Modeling Violations of Selectional Restrictions with Distributional Semantics</title>
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        <namePart type="given">Emmanuele</namePart>
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        <namePart type="given">Adrià</namePart>
        <namePart type="family">Torrens Urrutia</namePart>
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    <name type="personal">
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            <namePart type="given">Leonor</namePart>
            <namePart type="family">Becerra-Bonache</namePart>
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            <namePart type="given">Carlos</namePart>
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    <abstract>Distributional Semantic Models have been successfully used for modeling selectional preferences in a variety of scenarios, since distributional similarity naturally provides an estimate of the degree to which an argument satisfies the requirement of a given predicate. However, we argue that the performance of such models on rare verb-argument combinations has received relatively little attention: it is not clear whether they are able to distinguish the combinations that are simply atypical, or implausible, from the semantically anomalous ones, and in particular, they have never been tested on the task of modeling their differences in processing complexity. In this paper, we compare two different models of thematic fit by testing their ability of identifying violations of selectional restrictions in two datasets from the experimental studies.</abstract>
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%0 Conference Proceedings
%T Modeling Violations of Selectional Restrictions with Distributional Semantics
%A Chersoni, Emmanuele
%A Torrens Urrutia, Adrià
%A Blache, Philippe
%A Lenci, Alessandro
%Y Becerra-Bonache, Leonor
%Y Jiménez-López, M. Dolores
%Y Martín-Vide, Carlos
%Y Torrens-Urrutia, Adrià
%S Proceedings of the Workshop on Linguistic Complexity and Natural Language Processing
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New-Mexico
%F chersoni-etal-2018-modeling
%X Distributional Semantic Models have been successfully used for modeling selectional preferences in a variety of scenarios, since distributional similarity naturally provides an estimate of the degree to which an argument satisfies the requirement of a given predicate. However, we argue that the performance of such models on rare verb-argument combinations has received relatively little attention: it is not clear whether they are able to distinguish the combinations that are simply atypical, or implausible, from the semantically anomalous ones, and in particular, they have never been tested on the task of modeling their differences in processing complexity. In this paper, we compare two different models of thematic fit by testing their ability of identifying violations of selectional restrictions in two datasets from the experimental studies.
%U https://aclanthology.org/W18-4603
%P 20-29

Markdown (Informal)

[Modeling Violations of Selectional Restrictions with Distributional Semantics](https://aclanthology.org/W18-4603) (Chersoni et al., 2018)

• Modeling Violations of Selectional Restrictions with Distributional Semantics (Chersoni et al., 2018)

ACL

• Emmanuele Chersoni, Adrià Torrens Urrutia, Philippe Blache, and Alessandro Lenci. 2018. Modeling Violations of Selectional Restrictions with Distributional Semantics. In Proceedings of the Workshop on Linguistic Complexity and Natural Language Processing, pages 20–29, Santa Fe, New-Mexico. Association for Computational Linguistics.