A Korean Knowledge Extraction System for Enriching a KBox
Sangha Nam, Eun-kyung Kim, Jiho Kim, Yoosung Jung, Kijong Han, Key-Sun Choi
Abstract
The increased demand for structured knowledge has created considerable interest in knowledge extraction from natural language sentences. This study presents a new Korean knowledge extraction system and web interface for enriching a KBox knowledge base that expands based on the Korean DBpedia. The aim is to create an endpoint where knowledge can be extracted and added to KBox anytime and anywhere.- Anthology ID:
- C18-2005
- Volume:
- Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
- Month:
- August
- Year:
- 2018
- Address:
- Santa Fe, New Mexico
- Editor:
- Dongyan Zhao
- Venue:
- COLING
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 20–24
- Language:
- URL:
- https://aclanthology.org/C18-2005
- DOI:
- Cite (ACL):
- Sangha Nam, Eun-kyung Kim, Jiho Kim, Yoosung Jung, Kijong Han, and Key-Sun Choi. 2018. A Korean Knowledge Extraction System for Enriching a KBox. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, pages 20–24, Santa Fe, New Mexico. Association for Computational Linguistics.
- Cite (Informal):
- A Korean Knowledge Extraction System for Enriching a KBox (Nam et al., COLING 2018)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/C18-2005.pdf
- Code
- machinereading/wisekb-demo
- Data
- DBpedia