Publications

DeepPattern

Found 8 results matching your criteria. Now displaying 8 items.

• Miguel Domingo, Francisco Casacuberta. Two Demonstrations of the Machine Translation Applications to Historical Documents. arXiv preprint arXiv:2102.01417, 2021. Presented at the Demos session of ICPR 2020: https://www.micc.unifi.it/icpr2020/index.php/demos/.
  Type: Article. Available: BIB. Download publication.
• Alessandra Teresa Cignarella, Mirko Lai, Cristina Bosco, Viviana Patti, Paolo Rosso. SardiStance @ EVALITA2020: Overview of the Task on Stance Detection in Italian Tweets. Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), 2020.
  Type: Inproceedings. Available: BIB, Abstract. Request publication.
• Marcos Esteve, Francisco Casacuberta, Paolo Rosso. Argument Mining in the October 1, 2017 Referendum. Procesamiento del Lenguaje Natural, 2020. Vol. 65 pp. 59-66.
  Type: Article. Available: BIB, Abstract. Request publication.
• Alessandra Teresa Cignarella, Valerio Basile, Manuela Sanguinetti, Cristina Bosco, Paolo Rosso, Farah Benamara. Multilingual Irony Detection with Dependency Syntax and Neural Models. Proceedings of the 28th International Conference on Computational Linguistics, 2020. pp. 1346-1358. International Committee on Computational Linguistics.
  Type: Inproceedings. Available: BIB, Abstract. Request publication.
• Delia Irazú Hernández Farías, Ronaldo Prati, Francisco Herrera, Paolo Rosso. Irony detection in Twitter with imbalanced class distributions. Journal of Intelligent & Fuzzy Systems, 2020. Vol. 39 (2), pp. 2147-2163. Special section: Selected papers of LKE 2019
  Type: Article. Available: BIB, Abstract. Request publication.
• Mirko Lai, Viviana Patti, Giancarlo Ruffo, Paolo Rosso. #Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection. Journal of Intelligent & Fuzzy Systems, 2020. Vol. 39 (2), pp. 2341-2352.
  Type: Article. Available: BIB, Abstract. Request publication.
• Miguel Domingo, Mercedes García-Martínez, Álvaro Peris, Alexandre Helle, Amando Esstela, Bie Laurent, et al. A User Study of the Incremental Learning in NMT. Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020. pp. 319-328.
  Type: Inproceedings. Available: BIB. Download publication.
• Miguel Domingo, Francisco Casacuberta. Modernizing historical documents: A user Study. Pattern Recognition Letters, 2020. Vol. 133 pp. 151-157.
  Type: Article. Available: BIB, Abstract. Download publication.