Scientific Awards

  • Best System Award, EVALITA 2023 – ExtremITA: An instruction-tuned LLM for Italian (Hromei et al., 2023)

  • Best Paper Award, International Conference on Deep Learning Theory and Applications (DeLTA 2023) – Automatic Stance Detection with Italian Large Language Models (Margiotta et al., 2023)

  • Best Paper Award, Workshop on Natural Language for Artificial Intelligence (NL4AI 2022) – LLMs and Ethics by Design (Hromei et al., 2022)

  • Best Paper Award, EVALITA 2020 – Stance Detection in Italian Tweets (Giorgioni et al., 2020)

  • Best Paper Award, AIxIA 2019 – Deep Learning in Semantic Kernel Spaces (Croce et al., 2019)

  • Best Paper Award, CLiC-it 2018 – Neural Models for Italian NLP (Croce et al., 2018)

  • Distinguished Young Paper, CLiC-it 2016 – Context-aware Sentiment Analysis (Vanzo et al., 2016)

  • IBM Best Paper Award, COLING 2014 – A context-based model for Sentiment Analysis in Twitter (Vanzo et al., 2014)

  • Distinguished Young Paper, CLiC-it 2014 – Contextual polarity in Italian tweets (Vanzo et al., 2014)

  • Best System Paper, RoboCup Symposium 2014 – LU4R: Spoken Language Understanding for Robots (Bastianelli et al., 2015)
  • Best Paper Award, CICLING 2009 – Structured Learning for Semantic Processing (Basili et al., 2009)

Systems Evaluated in International Campaigns


References

  1. Hromei, C. D., Croce, D., Basile, V., & Basili, R. (2023). ExtremITA at EVALITA 2023: Multi-Task Sustainable Scaling to Large Language Models at its Extreme. In M. Lai, S. Menini, M. Polignano, V. Russo, R. Sprugnoli, & G. Venturi (Eds.), Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023), Parma, Italy, September 7th-8th, 2023 (Vol. 3473). CEUR-WS.org. https://ceur-ws.org/Vol-3473/paper13.pdf
  2. Margiotta, D., Croce, D., & Basili, R. (2023). TaxoSBERT: Unsupervised Taxonomy Expansion Through Expressive Semantic Similarity. In D. Conte, A. Fred, O. Gusikhin, & C. Sansone (Eds.), Deep Learning Theory and Applications - 4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, Proceedings (Vol. 1875, pp. 295–307). Springer. https://doi.org/10.1007/978-3-031-39059-3_20
  3. Hromei, C. D., Croce, D., & Basili, R. (2022). Grounding end-to-end Architectures for Semantic Role Labeling in Human Robot Interaction. In D. Nozza, L. C. Passaro, & M. Polignano (Eds.), Proceedings of the Sixth Workshop on Natural Language for Artificial Intelligence (NL4AI 2022) co-located with 21th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2022), Udine, November 30th, 2022 (Vol. 3287, pp. 24–38). CEUR-WS.org. https://ceur-ws.org/Vol-3287/paper5.pdf
  4. Giorgioni, S., Politi, M., Salman, S., Basili, R., & Croce, D. (2020). UNITOR @ Sardistance2020: Combining Transformer-based Architectures and Transfer Learning for Robust Stance Detection. In V. Basile, D. Croce, M. D. Maro, & L. C. Passaro (Eds.), Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), Online event, December 17th, 2020 (Vol. 2765). CEUR-WS.org. http://ceur-ws.org/Vol-2765/paper99.pdf
  5. Croce, D., Castellucci, G., & Basili, R. (2019). Kernel-Based Generative Adversarial Networks for Weakly Supervised Learning. AI*IA 2019 - Advances in Artificial Intelligence - XVIIIth International Conference of the Italian Association for Artificial Intelligence, Rende, Italy, November 19-22, 2019, Proceedings, 336–347. https://doi.org/10.1007/978-3-030-35166-3_24
  6. Croce, D., Rossini, D., & Basili, R. (2018). On the Readability of Deep Learning Models: the role of Kernel-based Deep Architectures. Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-It 2018), Torino, Italy, December 10-12, 2018. http://ceur-ws.org/Vol-2253/paper71.pdf
  7. Vanzo, A., Croce, D., Basili, R., & Nardi, D. (2016). Context-aware Spoken Language Understanding for Human Robot Interaction. Proceedings of Third Italian Conference on Computational Linguistics (CLiC-It 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016), Napoli, Italy, December 5-7, 2016. http://ceur-ws.org/Vol-1749/paper55.pdf
  8. Vanzo, A., Croce, D., & Basili, R. (2014). A context-based model for sentiment analysis in twitter. Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014), 2345–2354. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937448823&partnerID=40&md5=b33cc0dd427f7741229594971cdc1270
  9. Vanzo, A., Castellucci, G., Croce, D., & Basili, R. (2014). A context based model for Sentiment Analysis in Twitter for the Italian Language. First Italian Conference on Computational Linguistics.
  10. Bastianelli, E., Iocchi, L., Nardi, D., Castellucci, G., Croce, D., & Basili, R. (2015). RoboCup@Home spoken corpus: Using robotic competitions for gathering datasets. In Proceedings of the Robot Soccer World Cup (RoboCup 2015), 8992, 19–30. https://doi.org/10.1007/978-3-319-18615-3_2
  11. Basili, R., Cao, D. D., Croce, D., Coppola, B., & Moschitti, A. (2009). Cross-Language frame semantics transfer in bilingual corpora. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5449 LNCS, 332–345. https://doi.org/10.1007/978-3-642-00382-0_27
  12. Breazzano, C., Rubino, E., Croce, D., & Basili, R. (2020). UNITOR @ DANKMEME: Combining Convolutional Models and Transformer-based architectures for accurate MEME management. In V. Basile, D. Croce, M. D. Maro, & L. C. Passaro (Eds.), Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), Online event, December 17th, 2020 (Vol. 2765). CEUR-WS.org. http://ceur-ws.org/Vol-2765/paper139.pdf
  13. Santilli, A., Croce, D., & Basili, R. (2018). A Kernel-based Approach for Irony and Sarcasm Detection in Italian. Proceedings of the Sixth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2018) Co-Located with the Fifth Italian Conference on Computational Linguistics (CLiC-It 2018), Turin, Italy, December 12-13, 2018. http://ceur-ws.org/Vol-2263/paper023.pdf
  14. Croce, D., & Basili, R. (2018). A Markovian Kernel-based Approach for itaLIan Speech acT labEliNg. Proceedings of the Sixth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2018) Co-Located with the Fifth Italian Conference on Computational Linguistics (CLiC-It 2018), Turin, Italy, December 12-13, 2018. http://ceur-ws.org/Vol-2263/paper029.pdf
  15. Filice, S., Croce, D., Moschitti, A., & Basili, R. (2016). KeLP at SemEval-2016 task 3: Learning semantic relations between questions and answers. SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings, 1116–1123. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029360826&partnerID=40&md5=bd14a51a5e633c8023684a634c6b2aab
  16. Castellucci, G., Croce, D., & Basili, R. (2016). Context-aware Convolutional Neural Networks for Twitter Sentiment Analysis in Italian. Proceedings of Third Italian Conference on Computational Linguistics (CLiC-It 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016), Napoli, Italy, December 5-7, 2016. http://ceur-ws.org/Vol-1749/paper_029.pdf
  17. Castellucci, G., Croce, D., De Cao, D., & Basili, R. (2014). A Multiple Kernel Approach for Twitter Sentiment Analysis in Italian. Evalita 2014.
  18. Bastianelli, E., Croce, D., Nardi, D., & Basili, R. (2013). UNITOR-HMM-TK: Structured kernel-based learning for spatial role labeling. Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013), 2, 573–579. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040546154&partnerID=40&md5=1bf530a00b947d640a3390c455c0dbd0
  19. Castellucci, G., Filice, S., Croce, D., & Basili, R. (2013). UNITOR: Combining syntactic and semantic kernels for twitter sentiment analysis. Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013), 2, 369–374. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84926013794&partnerID=40&md5=2d8de3699237c919f65ac45d919f6146
  20. Croce, D., Storch, V., & Basili, R. (2013). UNITOR-CORE TYPED: Combining Text Similarity and Semantic Filters through SV Regression. Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013), 1, 59–65. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973882381&partnerID=40&md5=a8e5b2c48376f095db804d2477d3b3b1
  21. Croce, D., Annesi, P., Storch, V., & Basili, R. (2012). UNITOR: Combining semantic text similarity functions through SV Regression. *SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the Main Conference and the Shared Task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012), 2, 597–602. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040635623&partnerID=40&md5=2cb2117c92edb57173bed98475cc1573
  22. Croce, D., Bastianelli, E., & Castellucci, G. (2011). Structured Kernel-Based Learning for the Frame Labeling over Italian Texts. Evaluation of Natural Language and Speech Tools for Italian, International Workshop, EVALITA 2011, Rome, Italy, January 24-25, 2012, Revised Selected Papers, 220–229. https://doi.org/10.1007/978-3-642-35828-9_24