CovRelex: A COVID-19 Retrieval System with Relation Extraction
Vu Tran, Van-Hien Tran, Phuong Nguyen, Chau Nguyen, Ken Satoh, Yuji Matsumoto, Minh Nguyen
Abstract
This paper presents CovRelex, a scientific paper retrieval system targeting entities and relations via relation extraction on COVID-19 scientific papers. This work aims at building a system supporting users efficiently in acquiring knowledge across a huge number of COVID-19 scientific papers published rapidly. Our system can be accessed via https://www.jaist.ac.jp/is/labs/nguyen-lab/systems/covrelex/.- Anthology ID:
- 2021.eacl-demos.4
- Volume:
- Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
- Month:
- April
- Year:
- 2021
- Address:
- Online
- Venue:
- EACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 24–31
- Language:
- URL:
- https://aclanthology.org/2021.eacl-demos.4
- DOI:
- 10.18653/v1/2021.eacl-demos.4
- Cite (ACL):
- Vu Tran, Van-Hien Tran, Phuong Nguyen, Chau Nguyen, Ken Satoh, Yuji Matsumoto, and Minh Nguyen. 2021. CovRelex: A COVID-19 Retrieval System with Relation Extraction. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 24–31, Online. Association for Computational Linguistics.
- Cite (Informal):
- CovRelex: A COVID-19 Retrieval System with Relation Extraction (Tran et al., EACL 2021)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/2021.eacl-demos.4.pdf
- Data
- BC5CDR