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Results: 26
Number of items: 26
  • 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
  • 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
    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
    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
  • Open Access
    Molnar, A., Jumelet, J., Giulianelli, M., & Sinclair, A. (2023). Attribution and Alignment: Effects of Local Context Repetition on Utterance Production and Comprehension in Dialogue. In J. Jiang, D. Reitter, & S. Deng (Eds.), The 27th Conference on Computational Natural Language Learning: CoNLL 2023 : proceedings of the conference : December 6-7, 2023 (pp. 254–273). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.conll-1.18
  • 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
    Giulianelli, M. (2023). Neural models of language use: Studies of language comprehension and production in context. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Hupkes, D., Giulianelli, M., Dankers, V., Artetxe, M., Elazar, Y., Pimentel, T., Christodoulopoulos, C., Lasri, K., Saphra, N., Sinclair, A., Ulmer, D., Schottmann, F., Batsuren, K., Sun, K., Sinha, K., Khalatbari, L., Ryskina, M., Frieske, R., Cotterell, R., & Jin, Z. (2023). A taxonomy and review of generalization research in NLP. Nature Machine Intelligence, 5(10), 1161-1174. https://doi.org/10.48550/arXiv.2210.03050, https://doi.org/10.1038/S42256-023-00729-Y
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