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        <title>Aspectuality Across Genre: A Distributional Semantics Approach</title>
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        <namePart type="given">Thomas</namePart>
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        <namePart type="given">Malihe</namePart>
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    <abstract>The interpretation of the lexical aspect of verbs in English plays a crucial role in tasks such as recognizing textual entailment and learning discourse-level inferences. We show that two elementary dimensions of aspectual class, states vs. events, and telic vs. atelic events, can be modelled effectively with distributional semantics. We find that a verb’s local context is most indicative of its aspectual class, and we demonstrate that closed class words tend to be stronger discriminating contexts than content words. Our approach outperforms previous work on three datasets. Further, we present a new dataset of human-human conversations annotated with lexical aspects and present experiments that show the correlation of telicity with genre and discourse goals.</abstract>
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%0 Conference Proceedings
%T Aspectuality Across Genre: A Distributional Semantics Approach
%A Kober, Thomas
%A Alikhani, Malihe
%A Stone, Matthew
%A Steedman, Mark
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F kober-etal-2020-aspectuality
%X The interpretation of the lexical aspect of verbs in English plays a crucial role in tasks such as recognizing textual entailment and learning discourse-level inferences. We show that two elementary dimensions of aspectual class, states vs. events, and telic vs. atelic events, can be modelled effectively with distributional semantics. We find that a verb’s local context is most indicative of its aspectual class, and we demonstrate that closed class words tend to be stronger discriminating contexts than content words. Our approach outperforms previous work on three datasets. Further, we present a new dataset of human-human conversations annotated with lexical aspects and present experiments that show the correlation of telicity with genre and discourse goals.
%R 10.18653/v1/2020.coling-main.401
%U https://aclanthology.org/2020.coling-main.401
%U https://doi.org/10.18653/v1/2020.coling-main.401
%P 4546-4562

Markdown (Informal)

[Aspectuality Across Genre: A Distributional Semantics Approach](https://aclanthology.org/2020.coling-main.401) (Kober et al., COLING 2020)

• Aspectuality Across Genre: A Distributional Semantics Approach (Kober et al., COLING 2020)

ACL

• Thomas Kober, Malihe Alikhani, Matthew Stone, and Mark Steedman. 2020. Aspectuality Across Genre: A Distributional Semantics Approach. In Proceedings of the 28th International Conference on Computational Linguistics, pages 4546–4562, Barcelona, Spain (Online). International Committee on Computational Linguistics.