Nearest Neighbor Search for Summarization of Japanese Judgment Documents
Published in Legal Knowledge and Information Systems - JURIX 2023: The Thirty-sixth Annual Conference,, 2023
Abstract
With the increasing demand for summarizing Japanese judgment documents, the automatic generation of high-quality summaries by large language models (LLMs) is expected. We propose a method to select exemplars using the nearest neighbor search for the one-shot learning method. The experiments showed our method outperforms baseline methods.
Recommended citation:
Akito Shimbo, Yuta Sugawara, Hiroaki Yamada, Takenobu. 2023. Nearest Neighbor Search for Summarization of Japanese Judgment Documents. Legal Knowledge and Information Systems - JURIX 2023: The Thirty-sixth Annual Conference, pages 225–340, Maastricht, The Netherlands.