Marco Maru — accepted AI-conference papers

2022

Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation

Abelardo Carlos Martínez Lorenzo, Marco Maru, Roberto Navigli

ACL 2022long

A language-independent representation of meaning is one of the most coveted dreams in Natural Language Understanding. With this goal in mind, several formalisms have been proposed as frameworks for meaning representation in Semantic Parsing. And yet, the dependencies these formalisms share with resp…

Cited by 25 Source ↗PDF ↗code ↗Scholar ↗

2022

Nibbling at the Hard Core of Word Sense Disambiguation

Marco Maru, Simone Conia, Michele Bevilacqua, Roberto Navigli

ACL 2022long

With state-of-the-art systems having finally attained estimated human performance, Word Sense Disambiguation (WSD) has now joined the array of Natural Language Processing tasks that have seemingly been solved, thanks to the vast amounts of knowledge encoded into Transformer-based pre-trained languag…

Cited by 34 Source ↗PDF ↗code ↗Scholar ↗