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 | 109 | 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 | 75 | 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 | 39 | 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 | 13 | 2020 |
Sense-annotated corpora for word sense disambiguation in multiple languages and domains B Scarlini, T Pasini, R Navigli Proceedings of the 12th language resources and evaluation conference, 5905-5911, 2020 | 11 | 2020 |
EPIC: Multi-perspective annotation of a corpus of irony S Frenda, P Alessandro, V Basile, S Lo, AT Cignarella, P Raffaella, ... Proceedings of the 61th Annual Meeting of the Association for Computational …, 2023 | | 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 |