Search Results for author: Francesco Cecconi

Found 5 papers, 2 papers with code

AMuSE-WSD: An All-in-one Multilingual System for Easy Word Sense Disambiguation

no code implementations EMNLP (ACL) 2021 Riccardo Orlando, Simone Conia, Fabrizio Brignone, Francesco Cecconi, Roberto Navigli

Over the past few years, Word Sense Disambiguation (WSD) has received renewed interest: recently proposed systems have shown the remarkable effectiveness of deep learning techniques in this task, especially when aided by modern pretrained language models.

Word Sense Disambiguation

InVeRo-XL: Making Cross-Lingual Semantic Role Labeling Accessible with Intelligible Verbs and Roles

no code implementations EMNLP (ACL) 2021 Simone Conia, Riccardo Orlando, Fabrizio Brignone, Francesco Cecconi, Roberto Navigli

Notwithstanding the growing interest in cross-lingual techniques for Natural Language Processing, there has been a surprisingly small number of efforts aimed at the development of easy-to-use tools for cross-lingual Semantic Role Labeling.

Semantic Role Labeling Sentence

Named Entity Recognition for Entity Linking: What Works and What’s Next

1 code implementation Findings (EMNLP) 2021 Simone Tedeschi, Simone Conia, Francesco Cecconi, Roberto Navigli

Entity Linking (EL) systems have achieved impressive results on standard benchmarks mainly thanks to the contextualized representations provided by recent pretrained language models.

Entity Disambiguation Entity Linking +3

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