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    <titleInfo>
        <title>Humor Generation and Detection in Code-Mixed Hindi-English</title>
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        <namePart type="given">Kaustubh</namePart>
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    <abstract>Computational humor generation is one of the hardest tasks in natural language generation, especially in code-mixed languages. Existing research has shown that humor generation in English is a promising avenue. However, studies have shown that bilingual speakers often appreciate humor more in code-mixed languages with unexpected transitions and clever word play. In this study, we propose several methods for generating and detecting humor in code-mixed Hindi-English. Of the experimented approaches, an Attention Based Bi-Directional LSTM with converting parts of text on a word2vec embedding gives the best results by generating 74.8% good jokes and IndicBERT used for detecting humor in code-mixed Hindi-English outperforms other humor detection methods with an accuracy of 96.98%.</abstract>
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%0 Conference Proceedings
%T Humor Generation and Detection in Code-Mixed Hindi-English
%A Agarwal, Kaustubh
%A Narula, Rhythm
%Y Djabri, Souhila
%Y Gimadi, Dinara
%Y Mihaylova, Tsvetomila
%Y Nikolova-Koleva, Ivelina
%S Proceedings of the Student Research Workshop Associated with RANLP 2021
%D 2021
%8 September
%I INCOMA Ltd.
%C Online
%F agarwal-narula-2021-humor-generation
%X Computational humor generation is one of the hardest tasks in natural language generation, especially in code-mixed languages. Existing research has shown that humor generation in English is a promising avenue. However, studies have shown that bilingual speakers often appreciate humor more in code-mixed languages with unexpected transitions and clever word play. In this study, we propose several methods for generating and detecting humor in code-mixed Hindi-English. Of the experimented approaches, an Attention Based Bi-Directional LSTM with converting parts of text on a word2vec embedding gives the best results by generating 74.8% good jokes and IndicBERT used for detecting humor in code-mixed Hindi-English outperforms other humor detection methods with an accuracy of 96.98%.
%U https://aclanthology.org/2021.ranlp-srw.1
%P 1-6

Markdown (Informal)

[Humor Generation and Detection in Code-Mixed Hindi-English](https://aclanthology.org/2021.ranlp-srw.1) (Agarwal & Narula, RANLP 2021)

• Humor Generation and Detection in Code-Mixed Hindi-English (Agarwal & Narula, RANLP 2021)

ACL

• Kaustubh Agarwal and Rhythm Narula. 2021. Humor Generation and Detection in Code-Mixed Hindi-English. In Proceedings of the Student Research Workshop Associated with RANLP 2021, pages 1–6, Online. INCOMA Ltd..