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AnaLog : Testing Analytical and Deductive Logic Learnability in Language Models

dc.contributor.authorRyb, Samuel
dc.contributor.authorGiulianelli, Mario
dc.contributor.authorSinclair, Arabella
dc.contributor.authorFernández, Raquel
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Computational Linguistics at Aberdeenen
dc.contributor.institutionUniversity of Aberdeen.Human-Centred Computingen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.date.accessioned2023-10-27T23:07:49Z
dc.date.available2023-10-27T23:07:49Z
dc.date.issued2022-07-14
dc.descriptionAcknowledgements We would like to thank the anonymous ARR and *SEM 2022 reviewers for their feedback and suggestions, as well as Ece Takmaz for her comments. Samuel Ryb and Arabella Sinclair worked on this project while affiliated with the University of Amsterdam. The project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 819455). 1The dataset is available at https://github.com/dmg-illc/analogen
dc.format.extent14
dc.format.extent429654
dc.identifier223205390
dc.identifier7c908bd1-96a8-4afe-8f16-a0595987ca0a
dc.identifier85139087643
dc.identifier.citationRyb, S, Giulianelli, M, Sinclair, A & Fernández, R 2022, AnaLog : Testing Analytical and Deductive Logic Learnability in Language Models. in Proceedings of the 11th Joint Conference on Lexical and Computational Semantics. Association for Computational Linguistics, pp. 55-68, The 11th Joint Conference on Lexical and Computational Semantics , Seattle, Washington, United States, 14/07/22. https://doi.org/10.18653/v1/2022.starsem-1.5en
dc.identifier.citationconferenceen
dc.identifier.doi10.18653/v1/2022.starsem-1.5
dc.identifier.isbn978-1-955917-98-8
dc.identifier.otherBibtex: ryb2022analog
dc.identifier.urihttps://hdl.handle.net/2164/22056
dc.language.isoeng
dc.publisherAssociation for Computational Linguistics
dc.relation.ispartofProceedings of the 11th Joint Conference on Lexical and Computational Semanticsen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectEuropean Research Councilen
dc.subject819455en
dc.subjectSupplementary Dataen
dc.subject.lccQA75en
dc.titleAnaLog : Testing Analytical and Deductive Logic Learnability in Language Modelsen
dc.typeConference itemen

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