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Results: 129
Number of items: 129
  • Open Access
    Ryb, S., Giulianelli, M., Sinclair, A., & Fernández, R. (2022). AnaLog: Testing Analytical and Deductive Logic Learnability in Language Models. In V. Nastase, E. Pavlick, M. T. Pilehvar, J. Camacho-Collados, & A. Raganato (Eds.), The 11th Joint Conference on Lexical and Computational Semantics: *SEM 2022 : proceedings of the conference : July 14-15, 2022 (pp. 55-68). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.starsem-1.5
  • Open Access
    Sinclair, A., Jumelet, J., Zuidema, W., & Fernández, R. (2022). Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations. Transactions of the Association of Computational Linguistics, 10, 1031–1050. https://doi.org/10.1162/tacl_a_00504
  • Open Access
    Takmaz, E., Pezzelle, S., & Fernández, R. (2022). Less Descriptive yet Discriminative: Quantifying the Properties of Multimodal Referring Utterances via CLIP. In E. Chersoni, N. Hollenstein, C. Jacobs, Y. Oseki, L. Prévot, & E. Santus (Eds.), Workshop on Cognitive Modeling and Computational Linguistics: CMCL 2022 : proceedings of the workshop : May 26, 2022 (pp. 36-42). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.cmcl-1.4
  • Open Access
    Giulianelli, M., Sinclair, A., & Fernández, R. (2022). Construction Repetition Reduces Information Rate in Dialogue. In Y. He, H. Ji, S. Li, Y. Liu, & C.-H. Chang (Eds.), The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: proceedings of the conference : AACL-IJCNLP 2022 : November 20-23, 2022 (Vol. 1, pp. 665-682). The Association for Computational Linguistics. https://aclanthology.org/2022.aacl-main.51
  • Open Access
    Baan, J., Aziz, W., Plank, B., & Fernández, R. (2022). Stop Measuring Calibration When Humans Disagree. In Y. Goldberg, Z. Kozareva, & Y. Zhang (Eds.), Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: December 7-11, 2022, Abu Dhabi, United Arab Emirates (pp. 1892–1915). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.emnlp-main.124
  • Open Access
    Noble, B., Sayeed, A., Fernández, R., & Larsson, S. (2021). Semantic shift in social networks. In L.-W. Ku, V. Nastase, & I. Vulić (Eds.), The 10th Conference on Lexical and Computational Semantics: *SEM 2021 : proceedings of the conference : August 5-6, 2021, Bangkok, Thailand (online) (pp. 26-37). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.starsem-1.3
  • Open Access
    Giulianelli, M., & Fernández, R. (2021). Analysing Human Strategies of Information Transmission as a Function of Discourse Context. In A. Bisazza, & O. Abend (Eds.), The 25th Conference on Computational Natural Language Learning: CoNLL 2021 : proceedings of the conference : November 10-11, 2021, online (pp. 647–660). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.conll-1.50
  • Open Access
    Sinclair, A. J., & Fernández, R. (2021). Construction Coordination in First and Second Language Acquisition. In E. Breitholz, K. Georgila, & D. Schlangen (Eds.), PotsDial : Proceedings of the 25th Workshop on the Semantics and Pragmatics of Dialogue: Potsdam & The Internet, 20-22 September 2021 (pp. 150-161). (Proceedings SemDial; Vol. 2021). Universität Potsdam. http://semdial.org/anthology/papers/Z/Z21/Z21-3018/
  • Open Access
    Jansen, L., Sinclair, A., van der Goot, M. J., Fernández, R., & Pezzelle, S. (2021). Detecting age-related linguistic patterns in dialogue: Toward adaptive conversational systems. In E. Fersini, M. Passarotti, & V. Patti (Eds.), Proceedings of the Eighth Italian Conference on Computational Linguistics: Milan, Italy, June 29-July 1, 2022 Article 47 (CEUR Workshop Proceedings; Vol. 3033). CEUR-WS. https://ceur-ws.org/Vol-3033/paper47.pdf
  • Open Access
    Pezzelle, S., Takmaz, E., & Fernández, R. (2021). Word Representation Learning in Multimodal Pre-Trained Transformers: An Intrinsic Evaluation. Transactions of the Association of Computational Linguistics, 9, 1563–1579. https://doi.org/10.1162/tacl_a_00443
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