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Results: 40
Number of items: 40
  • Open Access
    Pezzelle, S., & Marelli, M. (2020). Do semantic features capture a syntactic classification of compounds? Insights from compositional distributional semantics. In S. Schulte im Walde, & E. Smolka (Eds.), The role of constituents in multiword expressions: An interdisciplinary, cross-lingual perspective (pp. 33-60). (Phraseology and Multiword Expressions; Vol. 4). Language Science Press. https://doi.org/10.5281/zenodo.3598556
  • Open Access
    Gualdoni, E., Bernardi, R., Fernández, R., & Pezzelle, S. (2020). Grounded and Ungrounded Referring Expressions in Human Dialogues: Language Mirrors Different Grounding Conditions. In J. Monti, F. Dell'Orletta, & F. Tamburini (Eds.), Proceedings of the Seventh Italian Conference on Computational Linguistics: Bologna, Italy, March 1-3, 2021 Article 38 (CEUR Workshop Proceedings; Vol. 2769). CEUR-WS. http://ceur-ws.org/Vol-2769/paper_38.pdf
  • 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
  • Open Access
    Testoni, A., Pezzelle, S., & Bernardi, R. (2019). Quantifiers in a Multimodal World: Hallucinating Vision with Language and Sound. In E. Chersoni, C. Jacobs, A. Lenci, T. Linzen, L. Prévot, & E. Santus (Eds.), Cognitive Modeling and Computational Linguistics: NAACL HLT 2019 : proceedings of the workshop : June 7, 2019, Minneapolis, USA (pp. 105-116). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-2912
  • Open Access
    Pezzelle, S., & Fernández, R. (2019). Big Generalizations with Small Data: Exploring the Role of Training Samples in Learning Adjectives of Size. In A. Mogadala, D. Klakow, S. Pezzelle, & M.-F. Moens (Eds.), Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN): EMNLP-IJCNLP 2019 : proceedings of the workshop : November 3, 2019, Hong Kong, China (pp. 18-23). The Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-6403
  • 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
    Pezzelle, S., Steinert Threlkeld, S., Bernardi, R., & Szymanik, J. (2018). Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers. In I. Gurevych, & Y. Miyao (Eds.), ACL 2018 : The 56th Annual Meeting of the Association for Computational Linguistics: proceedings of the conference : July 15-20, 2018, Melbourne, Australia (Vol. 2, pp. 114-119). The Association for Computational Linguistics. https://doi.org/10.18653/v1/P18-2019
  • Paperno, D., Kruszewski, G., Lazaridou, A., Pham, Q. N., Bernardi, R. B., Pezzelle, S., Baroni, M., Boleda, G., & Fernández, R. (2016). The LAMBADA dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.2630551
  • Open Access
    Paperno, D., Kruszewski, G., Lazaridou, A., Pham, Q. N., Bernardi, R., Pezzelle, S., Baroni, M., Boleda, G., & Fernández, R. (2016). The LAMBADA dataset: Word prediction requiring a broad discourse context. In K. Erk, & N. A. Smith (Eds.), The 54th Annual Meeting of the Association for Computational Linguistics : ACL 2016: proceedings of the conference : August 7-12, 2016, Berlin Germany (Vol. 1, pp. 1525-1534). Association for Computational Linguistics. https://doi.org/10.18653/v1/P16-1144
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