Search results
Results: 129
Number of items: 129
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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/
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Pezzelle, S., & Fernández, R. (2019, October 25). MALeViC [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3516924
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Del Tredici, M., Fernández, R., & Boleda, G. (2019). Short-Term Meaning Shift: A Distributional Exploration [Data set]. GitHub. https://github.com/marcodel13/Short-term-meaning-shift
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Del Tredici, M., Marcheggiani, D., Schulte im Walde, S., & Fernández, R. (2019). You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP. In K. Inui, J. Jiang, V. Ng, & X. Wan (Eds.), 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019 : proceedings of the conference : November 3-7, 2019, Hong Kong, China (pp. 4707-4717). The Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-1477
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Greco, C., Plank, B., Fernández, R., & Bernardi, R. (2019). Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering. 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. 3601-3605). The Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1350 -
Fernandez Rovira, R., & Schlöder, J. J. (2019, July 16). Taxonomy of Rejection [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.8870615.v1
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Del Tredici, M., Fernández, R., & Boleda, G. (2019). Short-Term Meaning Shift: A Distributional Exploration. 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. 2069-2075). The Association for Computational Linguistics. https://doi.org/10.18653/v1/N19-1210 -
Testoni, A., Shekhar, R., Fernández, R., & Bernardi, R. (2019). The Devil is in the Details: A Magnifying Glass for the GuessWhich Visual Dialogue Game. In C. Howes, J. Hough, & C. Kennington (Eds.), LondonLogue : Proceedings of the 23rd Workshop on the Semantics and Pragmatics of Dialogue: London, 4-6-September 2019 (pp. 15-24). (Proceedings SemDial; Vol. 2019). SEMDIAL. http://semdial.org/anthology/papers/Z/Z19/Z19-3005/ -
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 -
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
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