| Two is bigger (and better) than one: the wikipedia bitaxonomy project T Flati, D Vannella, T Pasini, R Navigli Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 100 | 2014 |
| SemEval-2018 task 9: Hypernym discovery J Camacho-Collados, C Delli Bovi, L Espinosa-Anke, S Oramas, T Pasini, ... Proceedings of the 12th International Workshop on Semantic Evaluation …, 2018 | 51 | 2018 |
| Train-o-matic: Large-scale supervised word sense disambiguation in multiple languages without manual training data T Pasini, R Navigli Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 44 | 2017 |
| MultiWiBi: The multilingual Wikipedia bitaxonomy project T Flati, D Vannella, T Pasini, R Navigli Artificial Intelligence 241, 66-102, 2016 | 24 | 2016 |
| SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation B Scarlini, T Pasini, R Navigli AAAI 2020, 2020 | 23 | 2020 |
| Two knowledge-based methods for high-performance sense distribution learning T Pasini, R Navigli Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 15 | 2018 |
| 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 | 13 | 2019 |
| Train-O-Matic: Supervised Word Sense Disambiguation with no (manual) effort T Pasini, R Navigli Artificial Intelligence 279, 103-215, 2020 | 9 | 2020 |
| The knowledge acquisition bottleneck problem in multilingual word sense disambiguation T Pasini Proceedings of the Twenty-Eighth International Joint Conference on …, 2020 | 8 | 2020 |
| MuLaN: Multilingual Label propagatioN for word sense disambiguation E Barba, L Procopio, N Campolungo, T Pasini, R Navigli Proc. of IJCAI, 3837-3844, 2020 | 7 | 2020 |
| Huge Automatically Extracted Training Sets for Multilingual Word Sense Disambiguation T Pasini, FM Elia, R Navigli arXiv preprint arXiv:1805.04685, 2018 | 6 | 2018 |
| 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 | 5 | 2020 |
| 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 | 5 | 2020 |
| A short survey on sense-annotated corpora T Pasini, J Camacho-Collados arXiv preprint arXiv:1802.04744, 2018 | 3 | 2018 |
| CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation. C Lacerra, M Bevilacqua, T Pasini, R Navigli AAAI, 8123-8130, 2020 | 2 | 2020 |
| XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization A Raganato, T Pasini, J Camacho-Collados, MT Pilehvar arXiv preprint arXiv:2010.06478, 2020 | | 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 | | 2020 |
Roberto NavigliFull Professor @ Sapienza University of RomeVerified email at di.uniroma1.it
