HIGHLIGHTS
- who: The and collaborators from the Université du Québec à Montréal have published the paper: On the Influence of Annotation Quality in Suicidal Risk Assessment from Text, in the Journal: (JOURNAL)
- what: Using a corpus aimed at suicidal risk assessment containing both crowdsourced and expert annotations the authors examine effects that these annotations have model training at test time. The work presented in this paper seeks to study the use of IF in mental health assessment by NLP. The experiments demonstrate the potential of IF in analyzing the effects of annotation quality on model . . .
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