KoCHET: a Korean Cultural Heritage corpus for Entity-related Tasks
This provides a domain-specific resource for researchers and practitioners working on Korean cultural heritage preservation and management, but it is incremental as it applies existing methods to new data.
The authors tackled the need for entity recognition in Korean cultural heritage documents by creating KoCHET, a corpus with 112,362, 38,765, and 113,198 examples for NER, RE, and ET tasks, which is freely available and allows redistribution.
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.