论文标题
Kochet：韩国文化遗产语料库，用于实体相关任务
KoCHET: a Korean Cultural Heritage corpus for Entity-related Tasks
论文作者
论文摘要
随着数字化的传统文化遗产文件迅速增加，导致对保存和管理的需求增加，对实体的实际认可和阶级的典型认识变得至关重要。为了实现这一目标，我们提出了Kochet - 韩国文化遗产语料库，用于典型实体相关的任务，即指定的实体识别（NER），关系提取（RE）和实体键入（ET）。根据政府附属组织的数据构建指南的文化遗产专家的建议，Kochet分别由NER，RE和ET任务的112,362、38,765、113,198个示例组成，涵盖了与韩国文化遗产相关的所有实体类型。此外，与现有的公共语料库不同，可以允许经过修改的重新分配。我们的实验结果使Kochet的实际可用性在文化遗产方面更有价值。我们还从统计和语言分析方面提供了Kochet的实际见解。我们的语料库可以在https://github.com/gyeeongmin47/kochet上免费获得。
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.
