Computer Science
a year ago

Models Successfully Decode Figurative Language, Revolutionizing NLI Understanding.

A Report on the FigLang 2022 Shared Task on Understanding Figurative Language
Arkadiy Saakyan, Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan

Paper Summary

The FigLang 2022 Shared Task focused on understanding figurative language. Participants were challenged to create models that could predict labels for figurative language and generate explanations. Using the FLUTE dataset, participants improved upon baseline models in both automatic and human evaluations.

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