Papers by Valeria Bolotova-Baranova

1 papers
Large Dataset and Language Model Fun-Tuning for Humor Recognition (P19-1)

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Challenge: Humor recognition datasets contain only English texts and focus on puns.
Approach: They collected a dataset of jokes and funny dialogues in Russian and complemented them carefully with unfunny texts with similar lexical properties.
Outcome: The proposed method is based on the universal language model finetuning and has an F1 score of 0.91 on a test set.

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