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Adversarial Training for Sarcasm Detection
2018Adversarial training has shown expressive performance in image classification task. However, there are few applications in natural language processing domain. In this paper, we propose to apply adversarial training strategy to sarcasm detection with small labeled samples.
Qinglin Zhang, Gangbao Chen, Di Chen
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IEEE International Conference on Acoustics, Speech, and Signal Processing
Understanding multimodal humor and sarcasm detection remains a key challenge in artificial intelligence. Despite recent advances, inconsistencies in feature extraction, evaluation methods, and experimental setups have hindered fair comparisons across ...
Zhongren Dong +4 more
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Understanding multimodal humor and sarcasm detection remains a key challenge in artificial intelligence. Despite recent advances, inconsistencies in feature extraction, evaluation methods, and experimental setups have hindered fair comparisons across ...
Zhongren Dong +4 more
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Exploiting Emojis for Sarcasm Detection
2019Modern social media platforms largely rely on text. However, the written text lacks the emotional cues of spoken and face-to-face dialogue, ambiguities are common, which is exacerbated in the short, informal nature of many social media posts. Sarcasm represents the nuanced form of language that individuals state the opposite of what is implied. Sarcasm
Jayashree Subramanian +3 more
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DeepMSD: Advancing Multimodal Sarcasm Detection Through Knowledge-Augmented Graph Reasoning
IEEE transactions on circuits and systems for video technology (Print)Multimodal sarcasm detection (MSD) requires predicting the sarcastic sentiment by understanding diverse modalities of data (e.g., text, image). Beyond the surface-level information conveyed in the post data, understanding the underlying deep-level ...
Yiwei Wei +7 more
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Sarcasm Annotation and Detection in Tweets
2018Identifying sarcasm in text is a challenging task which can be difficult also for humans, in particular in very short texts with little explicit context, such as tweets (Twitter messages). The paper presents a comparison of three sets of tweets marked for sarcasm, two annotated manually and one annotated using the common strategy of relying on the ...
Johan G. Cyrus M. Ræder +1 more
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Proceedings of the 20th International Conference on Multimodal Interaction: Adjunct, 2018
Sarcasm is a common feature of user interaction on social networking sites. Sarcasm differs with typical communication in alignment of literal meaning with intended meaning. Humans can recognize sarcasm from sufficient context information including from the various contents available on SNS.
Dipto Das, Anthony J. Clark
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Sarcasm is a common feature of user interaction on social networking sites. Sarcasm differs with typical communication in alignment of literal meaning with intended meaning. Humans can recognize sarcasm from sufficient context information including from the various contents available on SNS.
Dipto Das, Anthony J. Clark
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LDGNet: LLMs Debate-Guided Network for Multimodal Sarcasm Detection
IEEE International Conference on Acoustics, Speech, and Signal ProcessingMultimodal sarcasm detection aims to uncover the sarcasm emotions expressed through various modalities such as text and image. Previous work has made enlightening exploration in detecting sarcastic sentiments with given domains.
Hengyang Zhou +5 more
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2025 IEEE 6th India Council International Subsections Conference (INDISCON)
This paper studies transformer models, especially Bidirectional Encoder Representations from Transformers (BERT), to identify sarcasm in text. Detecting sarcasm is difficult because it depends heavily on understanding the specific context, which makes it
J. Vijaya +4 more
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This paper studies transformer models, especially Bidirectional Encoder Representations from Transformers (BERT), to identify sarcasm in text. Detecting sarcasm is difficult because it depends heavily on understanding the specific context, which makes it
J. Vijaya +4 more
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Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015
Sarcasm is a nuanced form of language in which individuals state the opposite of what is implied. With this intentional ambiguity, sarcasm detection has always been a challenging task, even for humans. Current approaches to automatic sarcasm detection rely primarily on lexical and linguistic cues.
Ashwin Rajadesingan +2 more
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Sarcasm is a nuanced form of language in which individuals state the opposite of what is implied. With this intentional ambiguity, sarcasm detection has always been a challenging task, even for humans. Current approaches to automatic sarcasm detection rely primarily on lexical and linguistic cues.
Ashwin Rajadesingan +2 more
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ACM Trans. Asian Low Resour. Lang. Inf. Process.
Sarcasm is used to convey contempt via poking and ridiculing the other person. It is frequently used to make fun of other people by saying unpleasant things.
H. Pokhriyal, Goonjan Jain
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Sarcasm is used to convey contempt via poking and ridiculing the other person. It is frequently used to make fun of other people by saying unpleasant things.
H. Pokhriyal, Goonjan Jain
semanticscholar +1 more source