| 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 | 103 | 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 | 75 | 2018 |
| SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation B Scarlini, T Pasini, R Navigli AAAI 2020, 2020 | 56 | 2020 |
| 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 | 54 | 2017 |
| 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 | 29 | 2020 |
| Multiwibi: The multilingual wikipedia bitaxonomy project T Flati, D Vannella, T Pasini, R Navigli Artificial Intelligence 241, 66-102, 2016 | 28 | 2016 |
| 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 | 25 | 2019 |
| MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation. E Barba, L Procopio, N Campolungo, T Pasini, R Navigli IJCAI, 3837-3844, 2020 | 24 | 2020 |
| Two knowledge-based methods for high-performance sense distribution learning T Pasini, R Navigli Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 18 | 2018 |
| Train-O-Matic: Supervised Word Sense Disambiguation with no (manual) effort T Pasini, R Navigli Artificial Intelligence 279, 103-215, 2020 | 16 | 2020 |
| The Knowledge Acquisition Bottleneck Problem in Multilingual Word Sense Disambiguation. T Pasini IJCAI, 4936-4942, 2020 | 15 | 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 | 13 | 2020 |
| CSI: A coarse sense inventory for 85% word sense disambiguation C Lacerra, M Bevilacqua, T Pasini, R Navigli Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8123-8130, 2020 | 12 | 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 | 11 | 2020 |
| Huge automatically extracted training sets for multilingual word sense disambiguation T Pasini, FM Elia, R Navigli arXiv preprint arXiv:1805.04685, 2018 | 9 | 2018 |
| XL-WSD: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense Disambiguation T Pasini, A Raganato, R Navigli Proceedings of the AAAI Conference on Artificial Intelligence, 2021 | 7 | 2021 |
| Recent Trends in Word Sense Disambiguation: A Survey M Bevilacqua, T Pasini, A Raganato, R Navigli Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 6 | 2021 |
| A short survey on sense-annotated corpora T Pasini, J Camacho-Collados arXiv preprint arXiv:1802.04744, 2018 | 6 | 2018 |
| ESC: Redesigning WSD with Extractive Sense Comprehension E Barba, T Pasini, R Navigli Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 4 | 2021 |
| 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 | 3 | 2020 |
Roberto NavigliProfessor, Sapienza University of RomeVerified email at uniroma1.it
