@inproceedings{ec19634998c14ac1a48dbc4139139523,
title = "SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search",
abstract = "The COVID-19 pandemic has sparked unprecedented mobilization of scientists, generating a deluge of papers that makes it hard for researchers to keep track and explore new directions. Search engines are designed for targeted queries, not for discovery of connections across a corpus. In this paper, we present SciSight, a system for exploratory search of COVID-19 research integrating two key capabilities: first, exploring associations between biomedical facets automatically extracted from papers (e.g., genes, drugs, diseases, patient outcomes); second, combining textual and network information to search and visualize groups of researchers and their ties. SciSight1 has so far served over 15K users with over 42K page views and 13\% returns.",
author = "Tom Hope and Jason Portenoy and Kishore Vasan and Jonathan Borchardt and Eric Horvitz and Weld, \{Daniel S.\} and Hearst, \{Marti A.\} and Jevin West",
note = "Publisher Copyright: {\textcopyright} 2020 Association for Computational Linguistics.; 2020 System Demonstrations of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020 ; Conference date: 16-11-2020 Through 20-11-2020",
year = "2020",
language = "الإنجليزيّة",
series = "EMNLP 2020 - Conference on Empirical Methods in Natural Language Processing, Proceedings of Systems Demonstrations",
publisher = "Association for Computational Linguistics (ACL)",
pages = "135--143",
editor = "Qun Liu and David Schlangen",
booktitle = "EMNLP 2020 - Conference on Empirical Methods in Natural Language Processing, Proceedings of Systems Demonstrations",
address = "الولايات المتّحدة",
}
