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        <title>Transformers on Sarcasm Detection with Context</title>
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        <namePart type="given">Amardeep</namePart>
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            <title>Proceedings of the Second Workshop on Figurative Language Processing</title>
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            <namePart type="given">Beata</namePart>
            <namePart type="given">Beigman</namePart>
            <namePart type="family">Klebanov</namePart>
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            <namePart type="given">Ekaterina</namePart>
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    <abstract>Sarcasm Detection with Context, a shared task of Second Workshop on Figurative Language Processing (co-located with ACL 2020), is study of effect of context on Sarcasm detection in conversations of Social media. We present different techniques and models, mostly based on transformer for Sarcasm Detection with Context. We extended latest pre-trained transformers like BERT, RoBERTa, spanBERT on different task objectives like single sentence classification, sentence pair classification, etc. to understand role of conversation context for sarcasm detection on Twitter conversations and conversation threads from Reddit. We also present our own architecture consisting of LSTM and Transformers to achieve the objective.</abstract>
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%0 Conference Proceedings
%T Transformers on Sarcasm Detection with Context
%A Kumar, Amardeep
%A Anand, Vivek
%Y Klebanov, Beata Beigman
%Y Shutova, Ekaterina
%Y Lichtenstein, Patricia
%Y Muresan, Smaranda
%Y Wee, Chee
%Y Feldman, Anna
%Y Ghosh, Debanjan
%S Proceedings of the Second Workshop on Figurative Language Processing
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F kumar-anand-2020-transformers
%X Sarcasm Detection with Context, a shared task of Second Workshop on Figurative Language Processing (co-located with ACL 2020), is study of effect of context on Sarcasm detection in conversations of Social media. We present different techniques and models, mostly based on transformer for Sarcasm Detection with Context. We extended latest pre-trained transformers like BERT, RoBERTa, spanBERT on different task objectives like single sentence classification, sentence pair classification, etc. to understand role of conversation context for sarcasm detection on Twitter conversations and conversation threads from Reddit. We also present our own architecture consisting of LSTM and Transformers to achieve the objective.
%R 10.18653/v1/2020.figlang-1.13
%U https://aclanthology.org/2020.figlang-1.13
%U https://doi.org/10.18653/v1/2020.figlang-1.13
%P 88-92

Markdown (Informal)

[Transformers on Sarcasm Detection with Context](https://aclanthology.org/2020.figlang-1.13) (Kumar & Anand, Fig-Lang 2020)

• Transformers on Sarcasm Detection with Context (Kumar & Anand, Fig-Lang 2020)

ACL

• Amardeep Kumar and Vivek Anand. 2020. Transformers on Sarcasm Detection with Context. In Proceedings of the Second Workshop on Figurative Language Processing, pages 88–92, Online. Association for Computational Linguistics.