Ryb, SamuelGiulianelli, MarioSinclair, ArabellaFernández, Raquel2023-10-272023-10-272022-07-14Ryb, 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-1.5conference978-1-955917-98-8Bibtex: ryb2022analoghttps://hdl.handle.net/2164/22056Acknowledgements 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/analog14429654engQA75 Electronic computers. Computer scienceEuropean Research Council819455Supplementary DataQA75Conference item10.18653/v1/2022.starsem-1.5