Text mining meets community curation: a newly designed curation platform to improve author experience and participation at WormBase

@article{Arnaboldi2020TextMM,
  title={Text mining meets community curation: a newly designed curation platform to improve author experience and participation at WormBase},
  author={V. Arnaboldi and D. Raciti and K. V. Auken and J. Chan and Hans-Michael M{\"u}ller and P. Sternberg},
  journal={Database: The Journal of Biological Databases and Curation},
  year={2020},
  volume={2020}
}
Abstract Biological knowledgebases rely on expert biocuration of the research literature to maintain up-to-date collections of data organized in machine-readable form. To enter information into knowledgebases, curators need to follow three steps: (i) identify papers containing relevant data, a process called triaging; (ii) recognize named entities; and (iii) extract and curate data in accordance with the underlying data models. WormBase (WB), the authoritative repository for research data on… Expand
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