Tommaso Pasini
Tommaso Pasini
Post-Doctoral Research Fellow, Sapienza University of Rome
Verified email at di.uniroma1.it - Homepage
Title
Cited by
Cited by
Year
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
1002014
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
512018
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
442017
MultiWiBi: The multilingual Wikipedia bitaxonomy project
T Flati, D Vannella, T Pasini, R Navigli
Artificial Intelligence 241, 66-102, 2016
242016
SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation
B Scarlini, T Pasini, R Navigli
AAAI 2020, 2020
232020
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
152018
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
132019
Train-O-Matic: Supervised Word Sense Disambiguation with no (manual) effort
T Pasini, R Navigli
Artificial Intelligence 279, 103-215, 2020
92020
The knowledge acquisition bottleneck problem in multilingual word sense disambiguation
T Pasini
Proceedings of the Twenty-Eighth International Joint Conference on …, 2020
82020
MuLaN: Multilingual Label propagatioN for word sense disambiguation
E Barba, L Procopio, N Campolungo, T Pasini, R Navigli
Proc. of IJCAI, 3837-3844, 2020
72020
Huge Automatically Extracted Training Sets for Multilingual Word Sense Disambiguation
T Pasini, FM Elia, R Navigli
arXiv preprint arXiv:1805.04685, 2018
62018
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
52020
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
52020
A short survey on sense-annotated corpora
T Pasini, J Camacho-Collados
arXiv preprint arXiv:1802.04744, 2018
32018
CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation.
C Lacerra, M Bevilacqua, T Pasini, R Navigli
AAAI, 8123-8130, 2020
22020
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
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Articles 1–17