[2A4-GS-10] AI application: Art

[2A4-GS-10-02] Preliminary Study for Information Extraction from Light Novels

〇Daiki Inoue¹, Tomonobu Ozaki¹ (1. Nihon University )

Keywords:novel, NER

In this study, we report the initial experimental results on information extraction targeted at light novels. Specifically, annotations were performed on nine light novels to construct a foundational dataset. Subsequently, several types of data augmentation were applied, and named entity extraction was conducted using deep learning models. While the extraction accuracy achieved is not always sufficient, the experiments have revealed several insights into the handling of the unique writing style and vocabulary specific to light novels, which are pertinent to information extraction.