Следене
Alessandro Raganato
Заглавие
Позовавания
Позовавания
Година
Entity linking meets word sense disambiguation: a unified approach
A Moro, A Raganato, R Navigli
Transactions of the Association for Computational Linguistics 2, 231-244, 2014
10202014
Word sense disambiguation: a uinified evaluation framework and empirical comparison
A Raganato, J Camacho-Collados, R Navigli
Proceedings of the 15th Conference of the European Chapter of the …, 2017
3692017
An analysis of encoder representations in transformer-based machine translation
A Raganato, J Tiedemann
Proceedings of the 2018 EMNLP workshop BlackboxNLP: analyzing and …, 2018
2882018
Neural sequence learning models for word sense disambiguation
A Raganato, CD Bovi, R Navigli
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
2352017
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
1132021
Fixed encoder self-attention patterns in transformer-based machine translation
A Raganato, Y Scherrer, J Tiedemann
Findings of the Association for Computational Linguistics: EMNLP 2020, 556–568, 2020
982020
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
522021
Eurosense: Automatic harvesting of multilingual sense annotations from parallel text
CD Bovi, J Camacho-Collados, A Raganato, R Navigli
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
522017
The MuCoW test suite at WMT 2019: Automatically harvested multilingual contrastive word sense disambiguation test sets for machine translation
A Raganato, Y Scherrer, J Tiedemann
Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019
472019
Multilingual NMT with a language-independent attention bridge
R Vázquez, A Raganato, J Tiedemann, M Creutz
arXiv preprint arXiv:1811.00498, 2018
462018
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
452020
Supwsd: A flexible toolkit for supervised word sense disambiguation
S Papandrea, A Raganato, CD Bovi
Proceedings of the 2017 conference on empirical methods in natural language …, 2017
442017
Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia
A Raganato, CD Bovi, R Navigli
Proceedings of 25th International Joint Conference on Artificial Intelligence, 2016
362016
Semeval-2023 task 1: Visual word sense disambiguation
A Raganato, I Calixto, A Ushio, J Camacho-Collados, M Pilehvar
17th International Workshop on Semantic Evaluation, SemEval 2023-Proceedings …, 2023
302023
A large-scale multilingual disambiguation of glosses
JC Collados, CD Bovi, A Raganato, R Navigli
arXiv preprint arXiv:1608.06718, 2016
202016
A systematic study of inner-attention-based sentence representations in multilingual neural machine translation
R Vázquez, A Raganato, M Creutz, J Tiedemann
Computational Linguistics 46 (2), 387-424, 2020
142020
Automatic identification and disambiguation of concepts and named entities in the multilingual wikipedia
F Scozzafava, A Raganato, A Moro, R Navigli
AI* IA 2015 Advances in Artificial Intelligence: XIVth International …, 2015
142015
Wikipedia entities as rendezvous across languages: Grounding multilingual language models by predicting Wikipedia hyperlinks
I Calixto, A Raganato, T Pasini
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
122021
An empirical investigation of word alignment supervision for zero-shot multilingual neural machine translation
A Raganato, R Vázquez, M Creutz, J Tiedemann
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
112021
An evaluation of language-agnostic inner-attention-based representations in machine translation
A Raganato, R Vázquez, M Creutz, J Tiedemann
Workshop on Representation Learning for NLP, 27-32, 2019
112019
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