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Results: 14
Number of items: 14
  • Open Access
    Weber, L., Jumelet, J., Bruni, E., & Hupkes, D. (2024). Interpretability of Language Models via Task Spaces. 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. 1, pp. 4522-4538). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-long.248
  • Open Access
    Weber, L., Jumelet, J., Bruni, E., & Hupkes, D. (2021). Language Modelling as a Multi-Task Problem. In P. Merlo, J. Tiedemann, & R. Tsarfaty (Eds.), The 16th Conference of the European Chapter of the Association for Computational Linguistics: EACL 2021 : proceedings of the conference : April 19-23, 2021 (pp. 2049–2060). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.eacl-main.176
  • Soeteman, A., Gutierrez, D., Bruni, E., & Shutova, E. (2020). Modelling form-meaning systematicity with linguistic and visual features. In AAAI-20, IAAI-20, EAAI-20 proceedings: Thirty-Fourth AAAI Conference on Artificial Intelligence, Thirty-Second Conference on Innovative Applications of Artificial Intelligence, The Tenth Symposium on Educational Advances in Artificial Intelligence : February 7–12th, 2020, New York Hilton Midtown, New York, New York, USA (Vol. 5, pp. 8870-8877). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 34). AAAI Press. https://doi.org/10.1609/aaai.v34i05.6416
  • Fernández, R., Pezzelle, S., Sinclair, A., Calixto, I., Takmaz, E., Giulianelli, M., Gelderloos, L., Bruni, E., Haber, J., Bernardi, R. B., & Baumgärtner, T. (2019). The PhotoBook Task and Dataset [Data set]. GitHub. https://dmg-photobook.github.io/
  • Open Access
    Korrel, K., Hupkes, D., Dankers, V., & Bruni, E. (2019). Transcoding compositionally: using attention to find more generalizable solutions. In T. Linzen, G. Chrupała, Y. Belinkov, & D. Hupkes (Eds.), The BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP at ACL 2019: ACL 2019 : proceedings of the Second Workshop : August 1, 2019, Florence, Italy (pp. 1-11). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-4801
  • Open Access
    Bani, G., Belli, D., Dagan, G., Geenen, A., Skliar, A., Venkatesh, A., Baumgärtner, T., Bruni, E., & Fernández, R. (2019). Adding object detection skills to visual dialogue agents. In L. Leal-Taixé, & S. Roth (Eds.), Computer Vision – ECCV 2018 Workshops: Munich, Germany, September 8-14, 2018 : proceedings (Vol. IV, pp. 180-187). (Lecture Notes in Computer Science; Vol. 11132). Springer. https://doi.org/10.1007/978-3-030-11018-5_17
  • Open Access
    Shekhar, R., Venkatesh, A., Baumgärtner, T., Bruni, E., Plank, B., Bernardi, R., & Fernández, R. (2019). Beyond Task Success: A Closer Look at Jointly Learning to See, Ask, and GuessWhat. In J. Burstein, C. Doran, & T. Solorio (Eds.), The 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: NAACL HLT 2019 : proceedings of the conference : June 2-June 7, 2019 (Vol. 1, pp. 2578-2587). The Association for Computational Linguistics. https://doi.org/10.18653/v1/N19-1265
  • Open Access
    Leonandya, R., Hupkes, D., Bruni, E., & Kruszewski, G. (2019). The Fast and the Flexible: training neural networks to learn to follow instructions from small data. In S. Dobnik, S. Chatzikyriakidis, & V. Demberg (Eds.), Proceedings of the 13th International Conference on Computational Semantics - Long Papers: IWCS 2019 : 23-27 May, 2019, University of Gothenburg, Gothenburg, Sweden (pp. 223-234). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-0419
  • Open Access
    Ulmer, D., Hupkes, D., & Bruni, E. (2019). Assessing incrementality in sequence-to-sequence models. In I. Augenstein, S. Gella, S. Ruder, K. Kann, B. Can, J. Welbl, A. Conneau, X. Ren, & M. Rei (Eds.), The 4th Workshop on Representation Learning for NLP (RepL4NLP-2019): ACL 2019 : proceedings of the workshop : August 2, 2019, Florence, Italy (pp. 209–217). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-4324
  • Open Access
    Haber, J., Baumgärtner, T., Takmaz, E., Gelderloos, L., Bruni, E., & Fernández, R. (2019). The PhotoBook Dataset: Building Common Ground through Visually Grounded Dialogue. In A. Korhonen, D. Traum, & L. Màrquez (Eds.), The 57th Annual Meeting of the Association for Computational Linguistics: ACL 2019 : proceedings of the conference : July 28-August 2, 2019, Florence, Italy (pp. 1895-1910). The Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1184
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