Abstract
Korean is often referred to as a low-resource language in the research community. While this claim is partially true, it is also because the availability of resources is inadequately advertised and curated. This work curates and reviews a list of Korean corpora, first describing institution-level resource development, then further iterate through a list of current open datasets for different types of tasks. We then propose a direction on how open-source dataset construction and releases should be done for less-resourced languages to promote research.- Anthology ID:
- 2020.nlposs-1.12
- Volume:
- Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Eunjeong L. Park, Masato Hagiwara, Dmitrijs Milajevs, Nelson F. Liu, Geeticka Chauhan, Liling Tan
- Venue:
- NLPOSS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 85–93
- Language:
- URL:
- https://aclanthology.org/2020.nlposs-1.12
- DOI:
- 10.18653/v1/2020.nlposs-1.12
- Cite (ACL):
- Won Ik Cho, Sangwhan Moon, and Youngsook Song. 2020. Open Korean Corpora: A Practical Report. In Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS), pages 85–93, Online. Association for Computational Linguistics.
- Cite (Informal):
- Open Korean Corpora: A Practical Report (Cho et al., NLPOSS 2020)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/2020.nlposs-1.12.pdf
- Data
- ClovaCall, GLUE, KLUE, Kobest, MultiCoNER, Natural Questions