CovRelex: A COVID-19 Retrieval System with Relation Extraction

Tran, V.; Tran, V. H.; Nguyen, P. M.; Nguyen, C. M.; Satoh, K.; Matsumoto, Y.; Nguyen, M. L.

Tran, V.; Tran, V. H.; Nguyen, P. M.; Nguyen, C. M.; Satoh, K.; Matsumoto, Y.; Nguyen, M. L..

Eacl 2021: The 16th Conference of the European Chapter of the Association for Computational Linguistics: Proceedings of the System Demonstrations ; : 24-31, 2021.

Article in English | Web of Science | ID: covidwho-2068420

ABSTRACT

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/.

Keywords

COVID-19; biomedical domain; scientific paper analysis; relation; extraction; entity recognition; document retrieval; ASSOCIATIONS

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Collection: Databases of international organizations Database: Web of Science Language: English Journal: Eacl 2021: The 16th Conference of the European Chapter of the Association for Computational Linguistics: Proceedings of the System Demonstrations Year: 2021 Document Type: Article

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