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of 5
pro vyhledávání: '"Niccolò Campolungo"'
Autor:
Federico Martelli, Stefano Perrella, Niccolò Campolungo, Tina Munda, Svetla Koeva, Carole Tiberius, Roberto Navigli
Publikováno v:
Computational Linguistics (2024)
Externí odkaz:
https://doaj.org/article/99707bfa48864612b726a48b542cfc5a
Lexical ambiguity poses one of the greatest challenges in the field of Machine Translation. Over the last few decades, multiple efforts have been undertaken to investigate incorrect translations caused by the polysemous nature of words. Within this b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cbebbe05ae0d63bd35770c937be1424
Publikováno v:
Findings of the Association for Computational Linguistics: EMNLP 2021
Autor:
Rexhina Blloshmi, Tommaso Pasini, Niccolò Campolungo, Somnath Banerjee, Roberto Navigli, Gabriella Pasi
Publikováno v:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
With the advent of contextualized embeddings, attention towards neural ranking approaches for Information Retrieval increased considerably. However, two aspects have remained largely neglected: i) queries usually consist of few keywords only, which i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5d35ce9c2f77ff7725e02c68882eb15
Publikováno v:
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
Scopus-Elsevier
IJCAI
Scopus-Elsevier
IJCAI
The knowledge acquisition bottleneck strongly affects the creation of multilingual sense-annotated data, hence limiting the power of supervised systems when applied to multilingual Word Sense Disambiguation. In this paper, we propose a semi-supervise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9f475412680fc71ca10123c572fa7c3