SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search

@article{Hope2020SciSightCF,
  title={SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search},
  author={Tom Hope and Jason Portenoy and K. Vasan and Jon Borchardt and E. Horvitz and Daniel S. Weld and Marti A. Hearst and Jevin D. West},
  journal={bioRxiv},
  year={2020}
}
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… Expand
COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19
Deep Learning applications for COVID-19
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
...
1
2
3
...

References

SHOWING 1-10 OF 81 REFERENCES
CORD-19: The COVID-19 Open Research Dataset
Visualising COVID-19 Research
BioCreative V CDR task corpus: a resource for chemical disease relation extraction
Evaluation of a Prototype Search and Visualization System for Exploring Scientific Communities
Scientists are drowning in COVID-19 papers. Can new tools keep them afloat?
Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision
CiteSpace II: Visualization and Knowledge Discovery in Bibliographic Databases
Baricitinib as potential treatment for 2019-nCoV acute respiratory disease
Utilization of the PICO framework to improve searching PubMed for clinical questions
...
1
2
3
4
5
...