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Results: 129
Number of items: 129
  • Open Access
    Pezzelle, S., & Fernández, R. (2019). Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts. 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. 2865-2876). The Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-1285
  • Open Access
    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
  • Open Access
    Schlöder, J. J., & Fernández, R. (2019). How to Reject What in Dialogue. 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. 99-108). (Proceedings SemDial; Vol. 2019). SEMDIAL. http://semdial.org/anthology/papers/Z/Z19/Z19-3014/
  • 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
  • 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
  • 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
    Hupkes, D., Bouwmeester, S., & Fernández, R. (2018). Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue. In T. Linzen, G. Chrupała, & A. Alishahi (Eds.), The 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP: EMNLP 2018 : proceedings of the First Workshop : November 1, 2018, Brussels, Belgium (pp. 165–174). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W18-5419
  • Open Access
    Aina, L., Bernardi, R., & Fernández, R. (2018). A distributional study of negated adjectives and antonyms. In E. Cabrio, A. Mazzei, & F. Tamburini (Eds.), Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018): Torino, Italy, December 10-12, 2018 (CEUR Workshop Proceedings; Vol. 2253). CEUR-WS. http://ceur-ws.org/Vol-2253/paper03.pdf
  • Open Access
    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. https://aclweb.org/anthology/C18-1104/
  • Open Access
    Klubička, F., & Fernández, R. (2018). Examining a hate speech corpus for hate speech detection and popularity prediction. In A. Branco, N. Calzolari, & K. Choukri (Eds.), 4REAL 2018 : Workshop on Replicability and Reproducibility of Research Results in Science and Technology of Language: LREC 2018 Workshop : proceedings (pp. 16-23). European Language Resources Association (ELRA). https://arxiv.org/abs/1805.04661
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