@inproceedings{tran-etal-2021-covrelex,
title = "{C}ov{R}elex: A {COVID}-19 Retrieval System with Relation Extraction",
author = "Tran, Vu and
Tran, Van-Hien and
Nguyen, Phuong and
Nguyen, Chau and
Satoh, Ken and
Matsumoto, Yuji and
Nguyen, Minh",
editor = "Gkatzia, Dimitra and
Seddah, Djam{\'e}",
booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
month = apr,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.eacl-demos.4",
doi = "10.18653/v1/2021.eacl-demos.4",
pages = "24--31",
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 \url{https://www.jaist.ac.jp/is/labs/nguyen-lab/systems/covrelex/}.",
}
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<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/.</abstract>
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%0 Conference Proceedings
%T CovRelex: A COVID-19 Retrieval System with Relation Extraction
%A Tran, Vu
%A Tran, Van-Hien
%A Nguyen, Phuong
%A Nguyen, Chau
%A Satoh, Ken
%A Matsumoto, Yuji
%A Nguyen, Minh
%Y Gkatzia, Dimitra
%Y Seddah, Djamé
%S Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
%D 2021
%8 April
%I Association for Computational Linguistics
%C Online
%F tran-etal-2021-covrelex
%X 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/.
%R 10.18653/v1/2021.eacl-demos.4
%U https://aclanthology.org/2021.eacl-demos.4
%U https://doi.org/10.18653/v1/2021.eacl-demos.4
%P 24-31
Markdown (Informal)
[CovRelex: A COVID-19 Retrieval System with Relation Extraction](https://aclanthology.org/2021.eacl-demos.4) (Tran et al., EACL 2021)
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.