Results 211 to 220 of about 4,706 (255)
Large language model evaluating theory of mind tasks in a gamified environment
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Perceptual and Motor Skills, 2001
This study examined facial expression in the presentation of sarcasm. 60 responses (sarcastic responses = 30, nonsarcastic responses = 30) from 40 different speakers were coded by two trained coders. Expressions in three facial areas—eyebrow, eyes, and mouth—were evaluated.
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This study examined facial expression in the presentation of sarcasm. 60 responses (sarcastic responses = 30, nonsarcastic responses = 30) from 40 different speakers were coded by two trained coders. Expressions in three facial areas—eyebrow, eyes, and mouth—were evaluated.
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International Journal of Semantic Computing, 2018
In this paper, we want to review one of the challenging problems for the opinion mining task, which is sarcasm detection. To be able to do that, many researchers tried to explore such properties in sarcasm like theories of sarcasm, syntactical properties, psycholinguistic of sarcasm, lexical feature, semantic properties, etc.
Ibisoglu, Taha Yasin +2 more
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In this paper, we want to review one of the challenging problems for the opinion mining task, which is sarcasm detection. To be able to do that, many researchers tried to explore such properties in sarcasm like theories of sarcasm, syntactical properties, psycholinguistic of sarcasm, lexical feature, semantic properties, etc.
Ibisoglu, Taha Yasin +2 more
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Sarcasm is a procedure of verbal irony that is planned to convey ridicule, contempt, or mockery. Because sarcasm can change a statement's meaning, the viewpoint analysis procedure is susceptible to mistakes. Sarcastic remarks simply have reduced the effectiveness of sentiment estimation, according to the prior study.
Himani Pokhriyal, Goonjan Jain
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Himani Pokhriyal, Goonjan Jain
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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 ...
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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 ...
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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, Haifeng Hu, Erik Cambria
exaly