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Chemical-Induced Disease Detection Using Invariance-based Pattern Learning Model
In this work, we introduce a novel feature engineering approach named {``}algebraic invariance{''} to identify discriminative patterns for learning relation pair features for the chemical-disease relation (CDR) task of BioCreative V. Our method exploits the existing structural similarity of the key concepts of relation descriptions from the CDR corpus to generate robust linguistic patterns for SVM tree kernel-based learning.
Semantic Similarity Models for Depression Severity Estimation
Depressive disorders constitute a severe public health issue worldwide.
GDPR Compliant Collection of Therapist-Patient-Dialogues
While these conversations are part of the daily routine of clinicians, gathering them is usually hindered by various ethical (purpose of data usage), legal (data privacy) and technical (data formatting) limitations.
NLP meets psychotherapy: Using predicted client emotions and self-reported client emotions to measure emotional coherence
No study has examined EC between the subjective experience of emotions and emotion expression in therapy or whether this coherence is associated with clients' well being.
