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Results: 129
Number of items: 129
  • Open Access
    Pezzelle, S., & Fernández, R. (2023). Semantic Adaptation to the Interpretation of Gradable Adjectives via Active Linguistic Interaction. Cognitive Science, 47(2), Article e13248. https://doi.org/10.1111/cogs.13248
  • Open Access
    Takmaz, E., Brandizzi, N., Giulianelli, M., Pezzelle, S., & Fernández, R. (2023). Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind. In A. Rogers, J. Boyd-Graber, & N. Okazaki (Eds.), Findings of the Association for Computational Linguistics: ACL 2023: July 9-14, 2023 (pp. 4198-4217). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-acl.258
  • Open Access
    Surikuchi, A., Pezzelle, S., & Fernández, R. (2023). GROOViST: A Metric for Grounding Objects in Visual Storytelling. In H. Bouamor, 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. 3331-3339). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.202
  • Open Access
    Chen, X., Fernández, R., & Pezzelle, S. (2023). The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models. 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. 5817–5830). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.356
  • Open Access
    Qi, J., Fernández, R., & Bisazza, A. (2023). Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models. 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. 10650-10666). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.658
  • 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
    Giulianelli, M. (2023). Neural models of language use: Studies of language comprehension and production in context. [Thesis, fully internal, Universiteit van Amsterdam].
  • Ryb, S., Giulianelli, M., Sinclair, A., & Fernández, R. (2022). AnaLog [Data set]. GitHub. https://github.com/dmg-illc/analog
  • Open Access
    Fernández, R. (2022). Dialogue. In R. Mitkov (Ed.), The Oxford Handbook of Computational Linguistics (2nd ed., pp. 179–204 ). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199573691.013.25
  • Open Access
    Jansen, L., Laichter, Š. L., Sinclair, A., van der Goot, M. J., Fernández, R., & Pezzelle, S. (2022). Controllable Text Generation for All Ages: Evaluating a Plug-and-Play Approach to Age-Adapted Dialogue. In A. Bosselut, K. Chandu, K. Dhole, V. Gangal, S. Gehrmann, Y. Jernite, J. Novikova, & L. Perez-Beltrachini (Eds.), 2nd Workshop on Natural Language Generation, Evaluation and Metrics: GEM 2022 : proceedings of the workshop : December 7, 2022 (pp. 172-188). Association for Computational Linguistics. https://doi.org/https://aclanthology.org/2022.gem-1.14
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