Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research.

Karin Verspoor|Simon Suster|Yulia Otmakhova|Shevon Mendis|Zenan Zhai|Biaoyan Fang|Jey Han Lau|Timothy Baldwin|Antonio Jimeno-Yepes|David Martínez


Anthology ID:DBLP:conf/ecir/VerspoorSOMZFLB21
Volume:Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part II
Year:2021
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:559-564
URL:https://doi.org/10.1007/978-3-030-72240-1_65
DOI:https://doi.org/10.1007/978-3-030-72240-1_65
DBLP:conf/ecir/VerspoorSOMZFLB21
BibTeX:
@inproceedings{verspoor-2021-brief, author = {Karin Verspoor and Simon Suster and Yulia Otmakhova and Shevon Mendis and Zenan Zhai and Biaoyan Fang and Jey Han Lau and Timothy Baldwin and Antonio Jimeno-Yepes and David Mart\'{i}nez}, editor = {Djoerd Hiemstra and Marie-Francine Moens and Josiane Mothe and Raffaele Perego and Martin Potthast and Fabrizio Sebastiani}, title = {{Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research}}, booktitle = {{Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part II}}, series = {Lecture Notes in Computer Science}, volume = {12657}, pages = {559--564}, publisher = {Springer}, year = {2021}, url = {https://doi.org/10.1007/978-3-030-72240-1_65}, doi = {https://doi.org/10.1007/978-3-030-72240-1_65} }