T-Know: a Knowledge Graph-based Question Answering and Infor-mation Retrieval System for Traditional Chinese Medicine
Ziqing Liu, Enwei Peng, Shixing Yan, Guozheng Li, Tianyong Hao
Abstract
T-Know is a knowledge service system based on the constructed knowledge graph of Traditional Chinese Medicine (TCM). Using authorized and anonymized clinical records, medicine clinical guidelines, teaching materials, classic medical books, academic publications, etc., as data resources, the system extracts triples from free texts to build a TCM knowledge graph by our developed natural language processing methods. On the basis of the knowledge graph, a deep learning algorithm is implemented for single-round question understanding and multiple-round dialogue. In addition, the TCM knowledge graph also is used to support human-computer interactive knowledge retrieval by normalizing search keywords to medical terminology.- Anthology ID:
- C18-2004
- 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:
- 15–19
- Language:
- URL:
- https://aclanthology.org/C18-2004
- DOI:
- Cite (ACL):
- Ziqing Liu, Enwei Peng, Shixing Yan, Guozheng Li, and Tianyong Hao. 2018. T-Know: a Knowledge Graph-based Question Answering and Infor-mation Retrieval System for Traditional Chinese Medicine. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, pages 15–19, Santa Fe, New Mexico. Association for Computational Linguistics.
- Cite (Informal):
- T-Know: a Knowledge Graph-based Question Answering and Infor-mation Retrieval System for Traditional Chinese Medicine (Liu et al., COLING 2018)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/C18-2004.pdf