Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/100016
DC Field | Value | Language |
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dc.contributor | Department of Chinese and Bilingual Studies | - |
dc.creator | Cong, Y | - |
dc.creator | Chersoni, E | - |
dc.creator | Hsu, Y Y | - |
dc.creator | Lenci, A | - |
dc.date.accessioned | 2023-07-28T03:36:44Z | - |
dc.date.available | 2023-07-28T03:36:44Z | - |
dc.identifier.isbn | 978-1-959429-76-0 | - |
dc.identifier.uri | http://hdl.handle.net/10397/100016 | - |
dc.description | The 12th Joint Conference on Lexical and Computational Semantics, July 13th-14th 2023, co-located with ACL 2023, Toronto, Ontario, Canada. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Association for Computational Linguistics | en_US |
dc.rights | ©2023 Association for Computational Linguistics | en_US |
dc.rights | ACL materials are Copyright © 1963–2023 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/). | en_US |
dc.rights | The following publication Yan Cong, Emmanuele Chersoni, Yu-yin Hsu, and Alessandro Lenci. 2023. Are Language Models Sensitive to Semantic Attraction? A Study on Surprisal. In Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), pages 141–148, Stroudsburg, PA: Association for Computational Linguistics is available at https://aclanthology.org/2023.starsem-1.13. | en_US |
dc.title | Are language models sensitive to semantic attraction? A study on surprisal | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 141 | - |
dc.identifier.epage | 148 | - |
dcterms.abstract | In psycholinguistics, semantic attraction is a sentence processing phenomenon in which a given argument violates the selectional requirements of a verb, but this violation is not perceived by comprehenders due to its attraction to another noun in the same sentence, which is syntactically unrelated but semantically sound. In our study, we use autoregressive language models to compute the sentence-level and the target phrase-level Surprisal scores of a psycholinguistic dataset on semantic attraction. Our results show that the models are sensitive to semantic attraction, leading to reduced Surprisal scores, although none of them perfectly matches the human behavioral patterns. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | In The 12th Joint Conference on Lexical and Computational Semantics, Proceedings of the Conference (*SEM 2023), 2023, p. 141-148. Stroudsburg, PA: Association for Computational Linguistics, 2023 | - |
dcterms.issued | 2023 | - |
dc.relation.ispartofbook | The 12th Joint Conference on Lexical and Computational Semantics: Proceedings of the Conference (*SEM 2023) | - |
dc.relation.conference | SEM 2023 | - |
dc.publisher.place | Stroudsburg, PA | en_US |
dc.description.validate | 202307 bcch | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | a2338 | en_US |
dc.identifier.SubFormID | 47536 | en_US |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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Cong_Language_Models_Sensitive.pdf | 785.41 kB | Adobe PDF | View/Open |
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