Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets. (arXiv:2208.11701v1 [cs.CL])

Adverse Childhood Experiences (ACEs) are defined as a collection of highly
stressful, and potentially traumatic, events or circumstances that occur
throughout childhood and/or adolescence. They have been shown to be associated
with increased risks of mental health diseases or other abnormal behaviours in
later lives. However, the identification of ACEs from textual data with Natural
Language Processing (NLP) is challenging because (a) there are no NLP ready ACE
ontologies; (b) there are few resources available for machine learning,
necessitating the …

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