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CovRelex: A COVID-19 Retrieval System with Relation Extraction

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dc.contributor.author Tran, Vu en
dc.contributor.author Tran, Van-Hien en
dc.contributor.author Nguyen, Phuong en
dc.contributor.author Nguyen, Chau en
dc.contributor.author Satoh, Ken en
dc.contributor.author Matsumoto, Yuji en
dc.contributor.author Nguyen, Minh en
dc.date.accessioned 2022-04-18T05:59:43Z en
dc.date.available 2022-04-18T05:59:43Z en
dc.date.issued 2021-04 en
dc.identifier.uri http://hdl.handle.net/10061/14708 en
dc.description Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations,Online,EACL en
dc.description.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/. en
dc.language.iso en en
dc.publisher Association for Computational Linguistics en
dc.relation.isreplacedby https://aclanthology.org/2021.eacl-demos.4/ en
dc.rights ©2021 Association for Computational Linguistics ja
dc.subject COVID-19 en
dc.subject biomedical domain en
dc.subject scientific paper analysis en
dc.subject relation extraction, en
dc.subject entity recognition en
dc.subject document retrieval en
dc.title CovRelex: A COVID-19 Retrieval System with Relation Extraction en
dc.type.nii Conference Paper en
dc.contributor.transcription サトウ, ケン ja
dc.contributor.transcription マツモト, ユウジ ja
dc.contributor.alternative 佐藤, 健 ja
dc.contributor.alternative 松本, 裕治 ja
dc.textversion none en
dc.identifier.spage 24 en
dc.identifier.epage 31 en
dc.relation.doi 10.18653/v1/2021.eacl-demos.4 en
dc.identifier.NAIST-ID 86630282 en
dc.identifier.NAIST-ID 73292294 en


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