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Results: 131
Number of items: 131
  • Open Access
    Del Tredici, M. (2020). Linguistic variation in online communities: A computational perspective. [Thesis, fully internal, Universiteit van Amsterdam]. Institute for Logic, Language and Computation.
  • Open Access
    Takmaz, E., Giulianelli, M., Pezzelle, S., Sinclair, A., & Fernández, R. (2020). Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts. In B. Webber, T. Cohn, Y. He, & Y. Liu (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing: EMNLP 2020 : proceedings of the conference : November 16-20, 2020 (pp. 4350-4368). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.emnlp-main.353
  • 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/
  • Pezzelle, S., & Fernández, R. (2019, October 25). MALeViC [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3516924
  • 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
  • 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
    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
    Shekhar, R., Takmaz, E., Fernández, R., & Bernardi, R. (2019). Evaluating the Representational Hub of Language and Vision Models. 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. 211-222). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-0418
  • Open Access
    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
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