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Found 4 papers, 1 papers with code
Pragmatic and Logical Inferences in NLI Systems: The Case of Conjunction Buttressing
An intelligent system is expected to perform reasonable inferences, accounting for both the literal meaning of a word and the meanings a word can acquire in different contexts.
A howling success or a working sea? Testing what BERT knows about metaphors
Metaphor is a widespread linguistic and cognitive phenomenon that is ruled by mechanisms which have received attention in the literature.
Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge
Prior research has explored the ability of computational models to predict a word semantic fit with a given predicate.
Don't Invite BERT to Drink a Bottle: Modeling the Interpretation of Metonymies Using BERT and Distributional Representations
The results reveal that, while BERT ability to deal with metonymy is quite limited, SDM is good at predicting the meaning of metonymic expressions, providing support for an account of metonymy based on event knowledge.
