KCAT: A Knowledge-Constraint Typing Annotation Tool
Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Zhigang Chen, Guoping Hu, Yueting Zhuang, Fei Wu, Xiang Ren
Abstract
In this paper, we propose an efficient Knowledge Constraint Fine-grained Entity Typing Annotation Tool, which further improves the entity typing process through entity linking together with some practical functions.- Anthology ID:
- P19-3017
- Volume:
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
- Month:
- July
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Marta R. Costa-jussà, Enrique Alfonseca
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 99–104
- Language:
- URL:
- https://aclanthology.org/P19-3017
- DOI:
- 10.18653/v1/P19-3017
- Cite (ACL):
- Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Zhigang Chen, Guoping Hu, Yueting Zhuang, Fei Wu, and Xiang Ren. 2019. KCAT: A Knowledge-Constraint Typing Annotation Tool. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 99–104, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- KCAT: A Knowledge-Constraint Typing Annotation Tool (Lin et al., ACL 2019)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/P19-3017.pdf
- Code
- donnyslin/KCAT
- Data
- FIGER