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Results: 129
Number of items: 129
  • Open Access
    Takmaz, E., Pezzelle, S., & Fernández, R. (2024). Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes. In Y. Graham, & M. Purver (Eds.), The 18th Conference of the European Chapter of the Association for Computational Linguistics : Proceedings of the Conference: EACL 2024 : March 17-22, 2024 (Vol. 1, pp. 2072-2087). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.eacl-long.126
  • Open Access
    Luden, I., Giulianelli, M., & Fernández, R. (2024). Beyond Perplexity: Examining Temporal Generalization in Large Language Models via Definition Generation. Computational Linguistics in the Netherlands Journal, 13, 205–232. https://clinjournal.org/clinj/article/view/181
  • Open Access
    Takmaz, E. K. (2024). Visual and linguistic processes in deep neural networks: A cognitive perspective. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Jumelet, J. (2024). Finding structure in language models. [Thesis, fully internal, Universiteit van Amsterdam].
  • Chen, X., Fernández, R., & Pezzelle, S. (2023). The BLA Benchmark: Investigating Basic Language Abilities of Multimodal Models [Data set]. GitHub. https://github.com/shin-ee-chen/BLA
  • Giulianelli, M., Baan, J., Aziz, W., Fernández, R., & Plank, B. (2023, October 20). whatsnext-scores [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10025272
  • Giulianelli, M., Wallbridge, S., & Fernández, R. (2023, October 20). AltGen: 1.3M Plausible Alternatives From Neural Text Generators [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10006413
  • Open Access
    Giulianelli, M., Wallbridge, S., & Fernández, R. (2023). Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives. In H. Bouamar, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 : Proceedings of the Conference : December 6-10, 2023 (pp. 5633-5653). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.343
  • Open Access
    Sinclair, A. J., & Fernández, R. (2023). Alignment of code switching varies with proficiency in second language learning dialogue. System, 113, Article 102952. https://doi.org/10.1016/j.system.2022.102952
  • Open Access
    Giulianelli, M., Luden, I., Fernández, R., & Kutuzov, A. (2023). Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis. In A. Rogers, J. Boyd-Graber, & N. Okazaki (Eds.), The 61st Conference of the Association for Computational Linguistics: Proceedings of the Conference : ACL 2023 : July 9-14, 2023 (Vol. 1, pp. 3130-3148). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.acl-long.176
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