Abstractive Summarization Corpus Construction of National Assembly Minutes and Model Development

Younggyun Hahm, Yejee Kang, Seoyoon Park, Yongbin Jeong, Hyunbin Seo, Yiseul Lee, Hyejin Seo, Saetbyol Seo, Hansaem Kim

http://doi.org/10.5626/JOK.2024.51.3.218

The mainstream of summary research has been targeting documents, but recently, interest in meeting summary research has significantly increased. As part of the National Institute of Korean Language’s big data construction project, a study on the summary of the National Assembly minutes, which have not yet been studied in Korea, was conducted and a summarization dataset for the National Assembly minutes was constructed. Qualitative intrinsic human evaluation was conducted to verify the quality of the constructed dataset. In addition, by conducting quantitative and qualitative evaluations of datasets built through the generative summarization model, the evaluation of the National Assembly Minutes Summarization dataset and the research direction of future generative and minutes summaries were sought.