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        <title>A Hybrid Human-AI Approach for Argument Map Creation From Transcripts</title>
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            <title>Proceedings of the First Workshop on Language-driven Deliberation Technology (DELITE) @ LREC-COLING 2024</title>
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        <name type="personal">
            <namePart type="given">Annette</namePart>
            <namePart type="family">Hautli-Janisz</namePart>
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        <name type="personal">
            <namePart type="given">Gabriella</namePart>
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            <namePart type="given">Valentin</namePart>
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            <namePart type="given">Chris</namePart>
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    <abstract>In order to overcome challenges of traditional deliberation approaches that often silo information exchange between synchronous and asynchronous modes therefore hindering effective deliberation, we present a hybrid framework combining Large Language Models (LLMs) and human-in-the-loop curation to generate argument maps from deliberation transcripts. This approach aims to enhance the efficiency and quality of the generated argument maps, promote transparency, and connect the asynchronous and synchronous deliberation modes. Finally, we outline a realistic deliberation scenario where this process can be successfully integrated.</abstract>
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%0 Conference Proceedings
%T A Hybrid Human-AI Approach for Argument Map Creation From Transcripts
%A Anastasiou, Lucas
%A De Liddo, Anna
%Y Hautli-Janisz, Annette
%Y Lapesa, Gabriella
%Y Anastasiou, Lucas
%Y Gold, Valentin
%Y Liddo, Anna De
%Y Reed, Chris
%S Proceedings of the First Workshop on Language-driven Deliberation Technology (DELITE) @ LREC-COLING 2024
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F anastasiou-de-liddo-2024-hybrid
%X In order to overcome challenges of traditional deliberation approaches that often silo information exchange between synchronous and asynchronous modes therefore hindering effective deliberation, we present a hybrid framework combining Large Language Models (LLMs) and human-in-the-loop curation to generate argument maps from deliberation transcripts. This approach aims to enhance the efficiency and quality of the generated argument maps, promote transparency, and connect the asynchronous and synchronous deliberation modes. Finally, we outline a realistic deliberation scenario where this process can be successfully integrated.
%U https://aclanthology.org/2024.delite-1.6
%P 45-51

Markdown (Informal)

[A Hybrid Human-AI Approach for Argument Map Creation From Transcripts](https://aclanthology.org/2024.delite-1.6) (Anastasiou & De Liddo, DELITE 2024)

• A Hybrid Human-AI Approach for Argument Map Creation From Transcripts (Anastasiou & De Liddo, DELITE 2024)

ACL

• Lucas Anastasiou and Anna De Liddo. 2024. A Hybrid Human-AI Approach for Argument Map Creation From Transcripts. In Proceedings of the First Workshop on Language-driven Deliberation Technology (DELITE) @ LREC-COLING 2024, pages 45–51, Torino, Italia. ELRA and ICCL.