Search results
Results: 129
Number of items: 129
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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 -
Giulianelli, M., Baan, J., Aziz, W., Fernández, R., & Plank, B. (2023). What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability. 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. 14349–14371). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.887 -
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 -
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 -
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 -
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 -
Ryb, S., Giulianelli, M., Sinclair, A., & Fernández, R. (2022). AnaLog [Data set]. GitHub. https://github.com/dmg-illc/analog
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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 -
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
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