Tommaso Pasini
Tommaso Pasini
Post-Doctoral Research Fellow, CoAStaL group, Copenhagen University
Verified email at di.ku.dk - 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
1032014
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
752018
SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation
B Scarlini, T Pasini, R Navigli
AAAI 2020, 2020
562020
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
542017
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
292020
Multiwibi: The multilingual wikipedia bitaxonomy project
T Flati, D Vannella, T Pasini, R Navigli
Artificial Intelligence 241, 66-102, 2016
282016
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
252019
MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation.
E Barba, L Procopio, N Campolungo, T Pasini, R Navigli
IJCAI, 3837-3844, 2020
242020
Two knowledge-based methods for high-performance sense distribution learning
T Pasini, R Navigli
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
182018
Train-O-Matic: Supervised Word Sense Disambiguation with no (manual) effort
T Pasini, R Navigli
Artificial Intelligence 279, 103-215, 2020
162020
The Knowledge Acquisition Bottleneck Problem in Multilingual Word Sense Disambiguation.
T Pasini
IJCAI, 4936-4942, 2020
152020
XL-WiC: A multilingual benchmark for evaluating semantic contextualization
A Raganato, T Pasini, J Camacho-Collados, MT Pilehvar
arXiv preprint arXiv:2010.06478, 2020
132020
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
122020
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
112020
Huge automatically extracted training sets for multilingual word sense disambiguation
T Pasini, FM Elia, R Navigli
arXiv preprint arXiv:1805.04685, 2018
92018
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
72021
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
62021
A short survey on sense-annotated corpora
T Pasini, J Camacho-Collados
arXiv preprint arXiv:1802.04744, 2018
62018
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
42021
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
32020
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