Short-term meaning shift: a distributional exploration
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- dc.contributor.author Boleda, Gemma
- dc.contributor.author Del Tredici, Marco
- dc.contributor.author Fernández, Raquel
- dc.date.accessioned 2019-10-16T07:36:41Z
- dc.date.available 2019-10-16T07:36:41Z
- dc.date.issued 2019
- dc.description
- dc.description Comunicació presentada a la Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), celebrada els dies 2 a 7 de juny de 2019 a Minneapolis, Estats Units d'Amèrica.
- dc.description.abstract We present the first exploration of meaning shift over short periods of time in online communities using distributional representations. We create a small annotated dataset and use it to assess the performance of a standard model for meaning shift detection on shortterm meaning shift. We find that the model has problems distinguishing meaning shift from referential phenomena, and propose a measure of contextual variability to remedy this.
- dc.description.sponsorship The research carried out by the Amsterdam section of the team was partially funded by the Netherlands Organisation for Scientific Research (NWO) under VIDI grant no. 276-89-008, Asymmetry in Conversation. This project has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No 715154), and from the Spanish Ramón y Cajal programme (grant RYC-2015-18907).
- dc.format.mimetype application/pdf
- dc.identifier.citation Del Tredici M, Fernández R, Boleda G. Short-term meaning shift: a distributional exploration. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies; 2019 Jun 2-7; Minneapolis, United States of America. Stroudsburg (PA): ACL; 2019. p. 2069–75.
- dc.identifier.uri http://hdl.handle.net/10230/42449
- dc.language.iso eng
- dc.publisher ACL (Association for Computational Linguistics)
- dc.relation.ispartof Proceedings of the 2019 ; 2019 Jun 2-7; Minneapolis, United States of America. Stroudsburg (PA): ACL; 2019. p. 2069–75.
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/715154
- dc.rights © ACL, Creative Commons Attribution 4.0 License
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword Semantic change
- dc.subject.keyword Meaning shift
- dc.subject.keyword Distributional semantics
- dc.subject.keyword Deep learning
- dc.subject.keyword Online communities
- dc.subject.keyword Short-time meaning shift
- dc.subject.keyword Computational semantics
- dc.subject.keyword Computational linguistics
- dc.title Short-term meaning shift: a distributional exploration
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/publishedVersion