Don't let notes be misunderstood: A negation detection method for assessing risk of suicide in mental health records

Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016

Volumn , Issue , 2016, Pages 95-105

  Gkotsis, George ^a   Velupillai, Sumithra ^a,b   Oellrich, Anika ^a   Dean, Harry ^a   Liakata, Maria ^c   Dutta, Rina ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^c UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY TREES; DOMAIN KNOWLEDGE; HEALTH RISKS; LARGE DATASET; RISK ASSESSMENT;

BASIC RULES; BINARY CLASSIFICATION; DETECTION METHODS; DOMAIN KNOWLEDGE; FREE TEXTS; HEALTH RECORDS; MENTAL HEALTH; PARSE TREES; SUICIDALITY; SYNTACTIC FEATURES;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85120006875     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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