Tommaso Pasini
Tommaso Pasini
Post-Doctoral Research Fellow, CoAStaL group, Copenhagen University
Verified email at di.ku.dk - Homepage
Title
Cited by
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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
1022014
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
522018
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
452017
SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation
B Scarlini, T Pasini, R Navigli
AAAI 2020, 2020
262020
Multiwibi: The multilingual wikipedia bitaxonomy project
T Flati, D Vannella, T Pasini, R Navigli
Artificial Intelligence 241, 66-102, 2016
252016
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
162018
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
152019
Train-O-Matic: Supervised Word Sense Disambiguation with no (manual) effort
T Pasini, R Navigli
Artificial Intelligence 279, 103-215, 2020
102020
The knowledge acquisition bottleneck problem in multilingual word sense disambiguation
T Pasini
Proceedings of the Twenty-Eighth International Joint Conference on …, 2020
92020
MuLaN: Multilingual Label propagatioN for word sense disambiguation
E Barba, L Procopio, N Campolungo, T Pasini, R Navigli
Proc. of IJCAI, 3837-3844, 2020
92020
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
72020
Huge Automatically Extracted Training Sets for Multilingual Word Sense Disambiguation
T Pasini, FM Elia, R Navigli
arXiv preprint arXiv:1805.04685, 2018
72018
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
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
42020
A short survey on sense-annotated corpora
T Pasini, J Camacho-Collados
arXiv preprint arXiv:1802.04744, 2018
32018
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
12020
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
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