KoCHET: a Korean Cultural Heritage corpus for Entity-related Tasks
September 01, 2022 ยท Declared Dead ยท ๐ International Conference on Computational Linguistics
Repo contents: README.md
Authors
Gyeongmin Kim, Jinsung Kim, Junyoung Son, Heuiseok Lim
arXiv ID
2209.00367
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
9
Venue
International Conference on Computational Linguistics
Repository
https://github.com/Gyeongmin47/KoCHET
โญ 12
Last Checked
1 month ago
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.
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