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/.
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CITATION STYLE
Tran, V., Tran, V. H., Nguyen, P. M., Nguyen, C. M., Satoh, K., Matsumoto, Y., & Le Nguyen, M. (2021). CovRelex: A COVID-19 retrieval system with relation extraction. In EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations (pp. 24–31). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.eacl-demos.4
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