SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation. B Scarlini, T Pasini, R Navigli Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence …, 2020 | 146 | 2020 |
With More Contexts Comes Better Performance: Contextualized Sense Embeddings for All-Round Word Sense Disambiguation B Scarlini, T Pasini, R Navigli Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 110 | 2020 |
Just “OneSeC” for Producing Multilingual Sense-Annotated Data B Scarlini, T Pasini, R Navigli Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 46 | 2019 |
CluBERT: A cluster-based approach for learning sense distributions in multiple languages T Pasini, F Scozzafava, B Scarlini Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 22 | 2020 |
Sense-annotated corpora for word sense disambiguation in multiple languages and domains B Scarlini, T Pasini, R Navigli Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 17 | 2020 |
EPIC: multi-perspective annotation of a corpus of irony S Frenda, A Pedrani, V Basile, SM Lo, AT Cignarella, R Panizzon, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 7 | 2023 |
Does anyone see the irony here? Analysis of perspective-aware model predictions in irony detection S Frenda, S Lo, S Casola, B Scarlini, C Marco, V Basile, D Bernardi CEUR WORKSHOP PROCEEDINGS 3494, 1-11, 2023 | 1 | 2023 |
Visual Definition Modeling: Challenging Vision & Language Models to Define Words and Objects B Scarlini, T Pasini, R Navigli Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11267 …, 2022 | | 2022 |