Results 231 to 240 of about 72,126 (279)
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Sarcasm-GPT: advancing sarcasm detection with large language models
The Computer JournalAbstract Sarcasm detection is a nuanced challenge in natural language processing, requiring deep understanding of textual and contextual cues. We present Sarcasm-GPT, a large language model-based model that integrates four key components: prompt template generation, retrieval-augmented generation, chain-of-thought generation, and a ...
Qiuyu Li +4 more
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2020
A biography of two troublesome words. Isn't it ironic? Or is it? Never mind, I'm just being sarcastic (or am I?). Irony and sarcasm are two of the most misused, misapplied, and misunderstood words in our conversational lexicon. In this volume in the MIT Press Essential Knowledge series, psycholinguist Roger Kreuz offers an enlightening ...
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A biography of two troublesome words. Isn't it ironic? Or is it? Never mind, I'm just being sarcastic (or am I?). Irony and sarcasm are two of the most misused, misapplied, and misunderstood words in our conversational lexicon. In this volume in the MIT Press Essential Knowledge series, psycholinguist Roger Kreuz offers an enlightening ...
openaire +1 more source
Studies in Language, 1996
Various kinds of motivation, such as psychological and physiological, affect and determine the forms of an utterance. Often observed consistent forms of sarcastic expression are likewise configured by sarcastic motivations. These forms, though still reflecting their original sarcastic motivation, progressively become emancipated from that motivation ...
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Various kinds of motivation, such as psychological and physiological, affect and determine the forms of an utterance. Often observed consistent forms of sarcastic expression are likewise configured by sarcastic motivations. These forms, though still reflecting their original sarcastic motivation, progressively become emancipated from that motivation ...
openaire +1 more source
Abstract Why is it so difficult to be sarcastic online? A “sarcastic utterance” is one whereby the utterer calls the audience’s attention to the discrepancy between the view the utterer superficially expresses and their actual feelings. In so doing, the utterer expresses a critical attitude toward that discrepancy.
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KnowleNet: Knowledge fusion network for multimodal sarcasm detection
Information Fusion, 2023Tan Yue, Zonghai Hu, Erik Cambria
exaly
Mimicking the Brain’s Cognition of Sarcasm From Multidisciplines for Twitter Sarcasm Detection
IEEE Transactions on Neural Networks and Learning Systems, 2023Fanglong Yao, Xian Sun, Wenkai Zhang
exaly

