  As digitized traditional cultural heritage documents have rapidly increased,
resulting in an increased need for preservation and management, practical
recognition of entities and typification of their classes has become essential.
To achieve this, we propose KoCHET - a Korean cultural heritage corpus for the
typical entity-related tasks, i.e., named entity recognition (NER), relation
extraction (RE), and entity typing (ET). Advised by cultural heritage experts
based on the data construction guidelines of government-affiliated
organizations, KoCHET consists of respectively 112,362, 38,765, 113,198
examples for NER, RE, and ET tasks, covering all entity types related to Korean
cultural heritage. Moreover, unlike the existing public corpora, modified
redistribution can be allowed both domestic and foreign researchers. Our
experimental results make the practical usability of KoCHET more valuable in
terms of cultural heritage. We also provide practical insights of KoCHET in
terms of statistical and linguistic analysis. Our corpus is freely available at
https://github.com/Gyeongmin47/KoCHET.
