A Hybrid Human-AI Approach for Argument Map Creation From Transcripts

Anastasiou, Lucas and De Liddo, Anna (2024). A Hybrid Human-AI Approach for Argument Map Creation From Transcripts. In: 1st Workshop on Language-Driven Deliberation Technology, DELITE 2024 at LREC-COLING 2024 - Workshop Proceedings 45 – 51.

URL: https://aclanthology.org/2024.delite-1.6.pdf

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.

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