@InProceedings{shing-EtAl:2018:W18-06,
  author    = {Shing, Han-Chin  and  Nair, Suraj  and  Zirikly, Ayah  and  Friedenberg, Meir  and  Daumé III, Hal  and  Resnik, Philip},
  title     = {Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings},
  booktitle = {Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, LA},
  publisher = {Association for Computational Linguistics},
  pages     = {25--36},
  abstract  = {We report on the creation of a dataset for studying assessment of suicide risk via online postings in Reddit. Evaluation of risk-level annotations by experts yields what is, to our knowledge, the first demonstration of reliability in risk assessment by clinicians based on social media postings. We also introduce and demonstrate the value of a new, detailed rubric for assessing suicide risk, compare crowdsourced with expert performance, and present baseline predictive modeling experiments using the new dataset, which will be made available to researchers through the American Association of Suicidology.},
  url       = {http://www.aclweb.org/anthology/W18-0603}
}