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.
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.
1 code implementation • Findings (EMNLP) 2021 • Simone Tedeschi, Valentino Maiorca, Niccolò Campolungo, Francesco Cecconi, Roberto Navigli
Multilingual Named Entity Recognition (NER) is a key intermediate task which is needed in many areas of NLP.
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.
Ranked #4 on Entity Disambiguation on ACE2004
no code implementations • LREC 2014 • Maud Ehrmann, Francesco Cecconi, Daniele Vannella, John Philip McCrae, Philipp Cimiano, Roberto Navigli
Recent years have witnessed a surge in the amount of semantic information published on the Web.