RDVI: A Retrieval–Detection Framework for Verbal Irony Detection

نویسندگان

چکیده

Verbal irony is a common form of expression used in daily communication, where the intended meaning often opposite to literal meaning. Accurately recognizing verbal essential for any NLP application which understanding true user intentions key performing underlying tasks. While existing research has made progress this area, involves connotative knowledge that cannot be directly inferred from text or its context, limits detection model’s ability recognize and comprehend irony. To address issue, we propose Retrieval–Detection method Irony (RDVI). This approach improves by retrieving open domain incorporating it into model using prompt learning. The experimental results demonstrate our proposed outperforms state-of-the-art models.

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ژورنال

عنوان ژورنال: Electronics

سال: 2023

ISSN: ['2079-9292']

DOI: https://doi.org/10.3390/electronics12122673