Papers by Dan Ofer

1 papers
Cards Against AI: Predicting Humor in a Fill-in-the-blank Party Game (2022.findings-emnlp)

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Challenge: Humor is an inherently social phenomenon, with utterances shaped by what is socially and culturally accepted.
Approach: They propose a dataset of cards Against humanity, including 785K unique jokes, and train machine learning models to predict the winning joke per game.
Outcome: The proposed model performs twice as well as random on the more difficult task of judging novel cards, with the context having little impact.

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