Recent trends in word sense disambiguation: A survey M Bevilacqua, T Pasini, A Raganato, R Navigli International Joint Conference on Artificial Intelligence, 4330-4338, 2021 | 171 | 2021 |
Sensembert: Context-enhanced sense embeddings for multilingual word sense disambiguation B Scarlini, T Pasini, R Navigli Proceedings of the AAAI conference on artificial intelligence 34 (05), 8758-8765, 2020 | 164 | 2020 |
SemEval-2018 task 9: Hypernym discovery J Camacho-Collados, CD Bovi, LE Anke, S Oramas, T Pasini, E Santus, ... Proceedings of the 12th international workshop on semantic evaluation, 712-724, 2018 | 129 | 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 | 123 | 2020 |
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 | 117 | 2014 |
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 | 101 | 2021 |
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 | 76 | 2017 |
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 35 (15), 13648 …, 2021 | 74 | 2021 |
XL-WiC: A multilingual benchmark for evaluating semantic contextualization A Raganato, T Pasini, J Camacho-Collados, MT Pilehvar Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 68 | 2020 |
Fairlex: A multilingual benchmark for evaluating fairness in legal text processing I Chalkidis, T Pasini, S Zhang, L Tomada, SF Schwemer, A Søgaard arXiv preprint arXiv:2203.07228, 2022 | 54 | 2022 |
Mulan: Multilingual label propagation for word sense disambiguation E Barba, L Procopio, N Campolungo, T Pasini, R Navigli Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 53 | 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 | 49 | 2019 |
The knowledge acquisition bottleneck problem in multilingual word sense disambiguation T Pasini Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 40 | 2021 |
Multiwibi: The multilingual wikipedia bitaxonomy project T Flati, D Vannella, T Pasini, R Navigli Artificial Intelligence 241, 66-102, 2016 | 40 | 2016 |
Train-o-matic: Supervised word sense disambiguation with no (manual) effort T Pasini, R Navigli Artificial Intelligence 279, 103215, 2020 | 34 | 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 | 33 | 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 | 24 | 2018 |
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 |
Legal ai systems in the eu’s proposed artificial intelligence act SF Schwemer, L Tomada, T Pasini Proceedings of the Second International Workshop on AI and Intelligent …, 2021 | 21 | 2021 |
Exemplification modeling: Can you give me an example, please? E Barba, L Procopio, C Lacerra, T Pasini, R Navigli IJCAI, 3779-3785, 2021 | 21 | 2021 |