Search Results for author: Federico Martelli

Found 4 papers, 2 papers with code

ID10M: Idiom Identification in 10 Languages

1 code implementation Findings (NAACL) 2022 Simone Tedeschi, Federico Martelli, Roberto Navigli

Idioms are phrases which present a figurative meaning that cannot be (completely) derived by looking at the meaning of their individual components. Identifying and understanding idioms in context is a crucial goal and a key challenge in a wide range of Natural Language Understanding tasks.

Natural Language Understanding

SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC)

1 code implementation SEMEVAL 2021 Federico Martelli, Najla Kalach, Gabriele Tola, Roberto Navigli

We illustrate our task, as well as the construction of our manually-created dataset including five languages, namely Arabic, Chinese, English, French and Russian, and the results of the participating systems.

Binary Classification Task 2

SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations

no code implementations IJCNLP 2019 Marco Maru, Federico Scozzafava, Federico Martelli, Roberto Navigli

Current research in knowledge-based Word Sense Disambiguation (WSD) indicates that performances depend heavily on the Lexical Knowledge Base (LKB) employed.

Word Sense Disambiguation

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