Search results
Results: 130
Number of items: 130
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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 -
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 -
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 -
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 -
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 -
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 -
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 -
Ryb, S., Giulianelli, M., Sinclair, A., & Fernández, R. (2022). AnaLog [Data set]. GitHub. https://github.com/dmg-illc/analog
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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
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