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download_size: 1038853
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dataset_size: 7299373
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# EPIC_Irony
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- paper: [EPIC: Multi-Perspective Annotation of a Corpus of Irony](https://assets.amazon.science/40/b4/0f6ec06a4a33a44485de1b2b57c7/epic-multi-perspective-annotation-of-a-corpus-of-irony.pdf) at ACL 2023
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Key features:
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- EPIC (English Perspectivist Irony Corpus) is the first annotated corpus specifically created for irony analysis based on the principles of data perspectivism.
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- The corpus contains short social media conversations in five regional varieties of English, annotated by contributors from five countries corresponding to those varieties.
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- The analysis of the resource considers the perspectives of the annotators in terms of origin, age, and gender, and the relationship between these dimensions, irony, and the topics of conversation.
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- To validate EPIC, perspective-aware models are created that encode the perspectives of annotators based on their demographic characteristics.
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- The performance of perspectivist models confirms that different annotators induce very different models.
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- In classifying ironic and non-ironic texts, perspectivist models prove to be generally more confident than non-perspectivist ones.
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- Perspectivist models tend to more accurately detect ironic language, indicating their ability to capture the different perceptions of irony.
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- The models reveal interesting insights about the variation in the perception of irony among different groups of annotators, such as among different generations and nationalities.
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- The EPIC corpus provides a useful resource for training perspective-aware models for irony detection, and highlights the influence of demographic factors on the perception and understanding of irony.
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Metadata in Creative Language Toolkit ([CLTK](https://github.com/liyucheng09/cltk))
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- CL Type: Irony
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- Task Type: detection
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- Size: 14k
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- Created time: 2023
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