KoCHET: A Korean Cultural Heritage Corpus for Entity-related Tasks

Gyeongmin Kim, Jinsung Kim, Junyoung Son, Heuiseok Lim


Abstract
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.
Anthology ID:
2022.coling-1.308
Volume:
Proceedings of the 29th International Conference on Computational Linguistics
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics
Note:
Pages:
3496–3505
Language:
URL:
https://aclanthology.org/2022.coling-1.308
DOI:
Bibkey:
Cite (ACL):
Gyeongmin Kim, Jinsung Kim, Junyoung Son, and Heuiseok Lim. 2022. KoCHET: A Korean Cultural Heritage Corpus for Entity-related Tasks. In Proceedings of the 29th International Conference on Computational Linguistics, pages 3496–3505, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
Cite (Informal):
KoCHET: A Korean Cultural Heritage Corpus for Entity-related Tasks (Kim et al., COLING 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.coling-1.308.pdf
Code
 gyeongmin47/kochet