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        <title>SarcEmp - Fine-tuning DialoGPT for Sarcasm and Empathy</title>
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    <name type="personal">
        <namePart type="given">Mohammed</namePart>
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            <title>Proceedings of the 1st Workshop on Simulating Conversational Intelligence in Chat (SCI-CHAT 2024)</title>
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            <namePart type="given">Yvette</namePart>
            <namePart type="family">Graham</namePart>
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        <name type="personal">
            <namePart type="given">Qun</namePart>
            <namePart type="family">Liu</namePart>
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        <name type="personal">
            <namePart type="given">Gerasimos</namePart>
            <namePart type="family">Lampouras</namePart>
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            <namePart type="given">Sinead</namePart>
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            <namePart type="given">Haider</namePart>
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        <name type="personal">
            <namePart type="given">Rameez</namePart>
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    <abstract>Conversational models often face challenges such as a lack of emotional temperament and a limited sense of humor when interacting with users. To address these issues, we have selected relevant data and fine-tuned the model to (i) humanize the chatbot based on the user’s emotional response and the context of the conversation using a dataset based on empathy and (ii) enhanced conversations while incorporating humor/sarcasm for better user engagement. We aspire to achieve more personalized and enhanced user-computer interactions with the help of varied datasets involving sarcasm together with empathy on top of already available state-of-the-art conversational systems.</abstract>
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%0 Conference Proceedings
%T SarcEmp - Fine-tuning DialoGPT for Sarcasm and Empathy
%A Rizwan, Mohammed
%Y Graham, Yvette
%Y Liu, Qun
%Y Lampouras, Gerasimos
%Y Iacobacci, Ignacio
%Y Madden, Sinead
%Y Khalid, Haider
%Y Qureshi, Rameez
%S Proceedings of the 1st Workshop on Simulating Conversational Intelligence in Chat (SCI-CHAT 2024)
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julians, Malta
%F rizwan-2024-sarcemp
%X Conversational models often face challenges such as a lack of emotional temperament and a limited sense of humor when interacting with users. To address these issues, we have selected relevant data and fine-tuned the model to (i) humanize the chatbot based on the user’s emotional response and the context of the conversation using a dataset based on empathy and (ii) enhanced conversations while incorporating humor/sarcasm for better user engagement. We aspire to achieve more personalized and enhanced user-computer interactions with the help of varied datasets involving sarcasm together with empathy on top of already available state-of-the-art conversational systems.
%U https://aclanthology.org/2024.scichat-1.6
%P 66-69

Markdown (Informal)

[SarcEmp - Fine-tuning DialoGPT for Sarcasm and Empathy](https://aclanthology.org/2024.scichat-1.6) (Rizwan, SCI-CHAT-WS 2024)

• SarcEmp - Fine-tuning DialoGPT for Sarcasm and Empathy (Rizwan, SCI-CHAT-WS 2024)

ACL

• Mohammed Rizwan. 2024. SarcEmp - Fine-tuning DialoGPT for Sarcasm and Empathy. In Proceedings of the 1st Workshop on Simulating Conversational Intelligence in Chat (SCI-CHAT 2024), pages 66–69, St. Julians, Malta. Association for Computational Linguistics.