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Results: 130
Number of items: 130
  • 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
    Bavaresco, A., Testoni, A., & Fernández, R. (2024). Don’t Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) : proceedings of the conference: ACL 2024 : August 11-16, 2024 (Vol. 2, pp. 870-879). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-short.77
  • Open Access
    Surikuchi, A. K., Fernández, R., & Pezzelle, S. (2024). Not (yet) the whole story: Evaluating Visual Storytelling Requires More than Measuring Coherence, Grounding, and Repetition. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), The 2024 Conference on Empirical Methods in Natural Language Processing : Findings of EMNLP 2024: EMNLP 2024 : November 12-16, 2024 (pp. 11597–11611). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-emnlp.679
  • 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., 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
  • 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
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