Extracting a Knowledge Base of Mechanisms from COVID-19 Papers

@article{Amini2021ExtractingAK,
  title={Extracting a Knowledge Base of Mechanisms from COVID-19 Papers},
  author={Aida Amini and Tom Hope and David Wadden and Madeleine van Zuylen and E. Horvitz and Roy Schwartz and Hannaneh Hajishirzi},
  journal={ArXiv},
  year={2021},
  volume={abs/2010.03824}
}
The COVID-19 pandemic has spawned a diverse body of scientific literature that is challenging to navigate, stimulating interest in automated tools to help find useful knowledge. We pursue the construction of a knowledge base (KB) of mechanisms—a fundamental concept across the sciences, which encompasses activities, functions and causal relations, ranging from cellular processes to economic impacts. We extract this information from the natural language of scientific papers by developing a broad… Expand

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References

SHOWING 1-10 OF 96 REFERENCES
COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
Literome: PubMed-scale genomic knowledge base in the cloud
Constructing a semantic predication gold standard from the biomedical literature
BioCreative V CDR task corpus: a resource for chemical disease relation extraction
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