Don't Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health Records

@inproceedings{Gkotsis2016DontLN,
  title={Don't Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health Records},
  author={George Gkotsis and Sumithra Velupillai and Anika Oellrich and Harry Dean and Maria Liakata and Rina Dutta},
  booktitle={CLPsych@HLT-NAACL},
  year={2016}
}
Mental Health Records (MHRs) contain freetext documentation about patients’ suicide and suicidality. In this paper, we address the problem of determining whether grammatic variants (inflections) of the word “suicide” are affirmed or negated. To achieve this, we populate and annotate a dataset with over 6,000 sentences originating from a large repository of MHRs. The resulting dataset has high InterAnnotator Agreement (κ 0.93). Furthermore, we develop and propose a negation detection method that… CONTINUE READING
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