Integration of LLM Quality Assurance into an NLG System
Ching-Yi Chen, Johanna Heininger, Adela Schneider, Christian Eckard,, Andreas Madsack, Robert Wei{\ss}graeber
TL;DR
This paper introduces a system that integrates LLM-based grammar and spelling correction into NLG quality assurance, demonstrating acceptable performance on multilingual sports news texts.
Contribution
It presents a novel approach to incorporating LLMs into QA processes for NLG systems, focusing on multilingual text correction.
Findings
The system delivers acceptable corrections in multiple languages.
Effective integration of LLMs enhances NLG quality assurance.
Demonstrated on sports news texts in three languages.
Abstract
In this paper, we present a system that uses a Large Language Model (LLM) to perform grammar and spelling correction as a component of Quality Assurance (QA) for texts generated by NLG systems, which is important for text production in real-world scenarios. Evaluating the results of the system on work-in-progress sports news texts in three languages, we show that it is able to deliver acceptable corrections.
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Taxonomy
TopicsBusiness Process Modeling and Analysis · Manufacturing Process and Optimization