1. Tonelli, Sara; Menini, Stefano,
    FrameNet-like Annotation of Olfactory Information in Texts,
    Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature,
    2021
    , pp. 11-
    20
  2. van der Goot, Rob; Sharaf, Ibrahim; Imankulova, Aizhan; Üstün, Ahmet; Stepanović, Marija; Ramponi, Alan; Khairunnisa, Siti Oryza; Komachi, Mamoru; Plank, Barbara,
    From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding,
    Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies,
    Association for Computational Linguistics,
    2021
    , pp. 2479-
    2497
  3. van der Goot, Rob; Üstün, Ahmet; Ramponi, Alan; Sharaf, Ibrahim; Plank, Barbara,
    Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP,
    Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations,
    Association for Computational Linguistics,
    2021
    , pp. 176-
    197
  4. van der Goot, Rob; Ramponi, Alan; Zubiaga, Arkaitz; Plank, Barbara; Muller, Benjamin; San Vicente Roncal, Iñaki; Ljubešić, Nikola; Çetinoğlu, Özlem; Mahendra, Rahmad; Çolakoğlu, Talha; Baldwin, Timothy; Caselli, Tommaso; Sidorenko, Wladimir,
    MultiLexNorm: A Shared Task on Multilingual Lexical Normalization,
    Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021),
    Association for Computational Linguistics,
    2021
    , pp. 493-
    509
  5. Trotta, Daniela; Palmero Aprosio, Alessio; Tonelli, Sara; Elia, Annibale,
    Adding Gesture, Posture and Facial Displays to the PoliModal Corpus of Political Interviews,
    Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020),
    European Language Resources Association,
    2020
    , pp. 4320-
    4326
  6. Palmero Aprosio, Alessio; Menini, Stefano; Tonelli, Sara,
    Adaptive Complex Word Identification through False Friend Detection,
    UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization,
    2020
    , pp. 192-
    200
  7. Tonelli, S.; Sprugnoli, R.; Palmero, Aprosio; Moretti, Giovanni; Menini, Stefano,
    Gli strumenti informatici. Sviluppo e risultati,
    Come cambia la scrittura a scuola. Rapporto di ricerca,
    IPRASE,
    2020
    , pp. 113-
    130
  8. Corazza, Michele; Menini, Stefano; Cabrio, Elena; Tonelli, Sara; Villata, Serena,
    A Multilingual Evaluation for Online Hate Speech Detection,
    in «ACM TRANSACTIONS ON INTERNET TECHNOLOGY»,
    vol. 20,
    n. 2,
    2020
    , pp. 1-
    22
  9. Aroyo, Lora; de Jong, Franciska; Hyvönen, Eero; Tonelli, Sara,
    Editorial: Web Semantics for Digital Humanities,
    in «JOURNAL OF WEB SEMANTICS»,
    vol. 61-62,
    2020
    , pp. 100569-
  10. Monti, Johanna; Basile, Valerio; Pia di Buono, Maria; Manna, Raffaele; Pascucci, Antonio; Tonelli, Sara,
    Proceedings of the Workshop on Resources and Techniques for User and Author Profiling in Abusive Language, ResTUP@LREC 2020, Marseille, France, May 2020,
    European Language Resources Association (ELRA),
    2020
  11. Palmero Aprosio, Alessio; Menini, Stefano; Tonelli, Sara,
    The CREENDER Tool for Creating Multimodal Datasets of Images and Comments,
    Proceedings of the Seventh Italian Conference on Computational Linguistics,CLiC-it 2020, Bologna, Italy, March 1-3, 2021,
    CEUR-WS.org,
    vol. 2769,
    2020
  12. Menini, Stefano; Palmero Aprosio, Alessio; Tonelli, Sara,
    A Multimodal Dataset of Images and Text to Study Abusive Language,
    Proceedings of the Seventh Italian Conference on Computational Linguistics,CLiC-it 2020, Bologna, Italy, March 1-3, 2021,
    CEUR-WS.org,
    vol. 2769,
    2020
  13. Corazza, Michele; Menini, Stefano; Cabrio, Elena; Tonelli, Sara; Villata, Serena,
    Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection,
    Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings,
    2020
    , pp. 943-
    949
  14. Casula, Camilla; Tonelli, Sara,
    Hate Speech Detection with Machine-Translated Data: The Role of Annotation Scheme, Class Imbalance and Undersampling,
    Proceedings of the Seventh Italian Conference on Computational Linguistics,CLiC-it 2020, Bologna, Italy, March 1-3, 2021,
    CEUR-WS.org,
    vol. 2769,
    2020
  15. Leonardelli, Elisa; Menini, Stefano; Tonelli, Sara,
    DH-FBK@ HaSpeeDe2: Italian Hate Speech Detection via Self-Training and Oversampling.,
    EVALITA 2020: Overview of the 7th Evaluation Campaign of Natural Language Processing and Sspeech Tools for Italian,
    2020
  16. Giari, Giuliano; Leonardelli, Elisa; Tao, Yuan; Machado, Mayara; ScottFairhall,,
    Spatiotemporal properties of the neural representation of conceptual content for words and pictures – an MEG study,
    in «NEUROIMAGE»,
    vol. 219,
    2020
  17. Vittorini, Pierpaolo; Menini, Stefano; Tonelli, Sara,
    An AI-Based System for Formative and Summative Assessment in Data Science Courses,
    in «INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION»,
    2020
  18. Casula, Camilla; Palmero Aprosio, Alessio; Menini, Stefano; Tonelli, Sara,
    FBK-DH at SemEval-2020 Task 12: Using Multi-channel BERT for Multilingual Offensive Language Detection,
    Proceedings of the Fourteenth Workshop on Semantic Evaluation (SemEval 2020),
    International Committee for Computational Linguistics,
    2020
    , pp. 1539-
    1545
  19. Bonetti, Federico; Tonelli, Sara,
    A 3D Role-Playing Game for Abusive Language Annotation,
    Proceedings of the LREC 2020 Workshop Games and Natural Language Processing,
    European Language Resources Association,
    2020
    , pp. 39-
    43
  20. Palmero Aprosio, Alessio; Tonelli, Sara; Turchi, Marco; Negri, Matteo; Di Gangi Mattia, A.,
    Neural Text Simplification in Low-Resource Conditions Using Weak Supervision,
    Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation (NeuralGen),
    Association for Computational Linguistics (ACL),
    2019
    , pp. 37-
    44