Aspectuality Across Genre: A Distributional Semantics Approach

Thomas Kober, Malihe Alikhani, Matthew Stone, Mark Steedman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The interpretation of the lexical aspect of verbs in English plays a crucial role for 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 demonstrate that closed class words tend to be stronger discriminating contexts than content words. Our approach outperforms previous work on three datasets. Lastly, we contribute a dataset of human–human conversations annotated with lexical aspect and present experiments that show the correlation of telicity with genre and discourse goals.
Original languageEnglish
Title of host publicationProceedings of the 28th International Conference on Computational Linguistics (COLING 2020)
Number of pages17
Publication statusAccepted/In press - 30 Sep 2020
EventThe 28th International Conference on Computational Linguistics - Virtual conference
Duration: 8 Dec 202013 Dec 2020
https://coling2020.org/

Conference

ConferenceThe 28th International Conference on Computational Linguistics
Abbreviated titleCOLING 2020
CityVirtual conference
Period8/12/2013/12/20
Internet address

Fingerprint Dive into the research topics of 'Aspectuality Across Genre: A Distributional Semantics Approach'. Together they form a unique fingerprint.

Cite this