Weber, L., Jumelet, J. W. D., Bruni, E., & Hupkes, D. (2021). Language Modelling as a Multi-Task Problem. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (pp. 1-12). ACL. https://aclanthology.org/2021.eacl-main.176.pdf
2020
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[details]
2019
Baan, J., Leible, J., Nikolaus, M., Rau, D., Ulmer, D., Baumgärtner, T., ... Bruni, E. (2019). On the Realization of Compositionality in Neural Networks. 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. 127-137). Stroudsburg, PA: The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-4814[details]
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[details]
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[details]
Fernández, R., Pezzelle, S., Sinclair, A., Takmaz, E., Giulianelli, M., Gelderloos, L., Calixto, I., Bruni, E., Haber, J., Bernardi, R. B. & Baumgärtner, T. (2019). The PhotoBook Task and Dataset. GitHub. https://dmg-photobook.github.io/
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). Stroudsburg, PA: The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-4801[details]
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). Stroudsburg, PA: The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-0419[details]
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). Stroudsburg, PA: The Association for Computational Linguistics. https://doi.org/10.18653/v1/N19-1265[details]
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). Stroudsburg, PA: The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-4324[details]
Shekhar, R., Baumgärtner, T., Venkatesh, A., Bruni, E., Bernardi, R., & Fernandez, R. (2018). Ask No More: Deciding when to guess in referential visual dialogue. In E. M. Bender, L. Derczynski, & P. Isabelle (Eds.), The 27th International Conference on Computational Linguistics: COLING 2018 : proceedings of the conference : August 20-26, 2018, Santa Fe, New Mexico, USA (pp. 1218-1233). Association for Computational Linguistics. [details]
Bruni, E., & Fernández, R. (2017). Adversarial Evaluation for Open-Domain Dialogue Generation. In K. Jokinen, M. Stede, D. DeVault, & A. Louis (Eds.), 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue: proceedings of the conference : 15-17 August 2017, Saarbrücken, Germany : SIGDIAL 2017 (pp. 284-288). Stroudsburg, PA: Association for Computational Linguistics. https://doi.org/10.18653/v1/W17-5534[details]
Hupkes, D., Singh, A. K., Korrel, K., Kruszewski, G., & Bruni, E. (2019). Learning compositionally through attentive guidance.
2019
Fernández, R., Pezzelle, S., Sinclair, A., Takmaz, E., Giulianelli, M., Gelderloos, L., Calixto, I., Bruni, E., Haber, J., Bernardi, R. B. & Baumgärtner, T. (2019). The PhotoBook Task and Dataset. GitHub. https://dmg-photobook.github.io/
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