Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106694
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Title: On quick kisses and how to make them count : a study on event construal in light verb constructions with BERT
Authors: Liu, C 
Chersoni, E 
Issue Date: 2023
Source: In BlackboxNLP Analyzing and Interpreting Neural Networks for NLP : Proceedings of the Sixth Workshop, December 7, 2023, p. 367-378. Kerrville, TX : Association for Computational Linguistics, 2023
Abstract: Psycholinguistic studies suggested that our mental perception of events depends not only on the lexical items used to describe them, but also on the syntactic structure of the event description. More specifically, it has been argued that light verb constructions affect the perception of duration in event construal, such that the same event in this type of constructions is perceived by humans as taking less time (to give a kiss takes a shorter time than to kiss). In our paper, we present two experiments with BERT using English stimuli from psycholinguistic studies to investigate the effects of the syntactic construction on event duration and event similarity. We show that i) the dimensions of BERT vectors encode a smaller value for duration for both punctive and durative events in count syntax, in line with human results; on the other hand, we also found that ii) BERT semantic similarity fails to capture the conceptual shift that durative events should undergo in count syntax.
Publisher: Association for Computational Linguistics
ISBN: 979-8-89176-052-3
DOI: 10.18653/v1/2023.blackboxnlp-1.28
Research Data: https://github.com/xinxinlaoshi/QuickKisses
Description: BlackboxNLP Analyzing and Interpreting Neural Networks for NLP, December 7, 2023, Singapore
Rights: ©2023 Association for Computational Linguistics
ACL materials are Copyright © 1963–2024 ACL; other materials are copyrighted by their respective copyright holders. Materials prior to 2016 here are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License (https://creativecommons.org/licenses/by-nc-sa/3.0/). Permission is granted to make copies for the purposes of teaching and research. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
The following publication Chenxin Liu and Emmanuele Chersoni. 2023. On Quick Kisses and How to Make Them Count: A Study on Event Construal in Light Verb Constructions with BERT. In Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, pages 367–378, Singapore. Association for Computational Linguistics is available at https://doi.org/10.18653/v1/2023.blackboxnlp-1.28.
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