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A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer ...
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HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ...
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HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ...
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Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation ...
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Abstract:
Sarcasm is a pervading linguistic phenomenon and highly challenging to explain due to its subjectivity, lack of context and deeply-felt opinion. In the multimodal setup, sarcasm is conveyed through the incongruity between the text and visual entities. Although recent approaches deal with sarcasm as a classification problem, it is unclear why an online post is identified as sarcastic. Without proper explanation, end users may not be able to perceive the underlying sense of irony. In this paper, we propose a novel problem -- Multimodal Sarcasm Explanation (MuSE) -- given a multimodal sarcastic post containing an image and a caption, we aim to generate a natural language explanation to reveal the intended sarcasm. To this end, we develop MORE, a new dataset with explanation of 3510 sarcastic multimodal posts. Each explanation is a natural language (English) sentence describing the hidden irony. We benchmark MORE by employing a multimodal Transformer-based architecture. It incorporates a cross-modal attention in ... : Accepted for publication in AAAI-2022 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2112.04873 https://dx.doi.org/10.48550/arxiv.2112.04873
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LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content ...
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DESYR: Definition and Syntactic Representation Based Claim Detection on the Web ...
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Related Tasks can Share! A Multi-task Framework for Affective language ...
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