Mental Health

A Shoulder to Cry on: Towards A Motivational Virtual Assistant for Assuaging Mental Agony NAACL 2022 Characterizing Therapist's Speaking Style in Relation to Empathy in Psychotherapy Interspeech 2022 Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues ACL 2022 Curating a Large-Scale Motivational Interviewing Dataset Using Peer Support Forums COLING 2022 D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat EMNLP 2022 DepressionOne@LT-EDI-ACL2022: Using Machine Learning with SMOTE and Random UnderSampling to Detect Signs of Depression on Social Media Text. ACL 2022 Detecting Suicide Risk in Online Counseling Services: A Study in a Low-Resource Language COLING 2022 D-vlog: Multimodal Vlog Dataset for Depression Detection AAAI 2022 E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of Depression ACL 2022 EM-PERSONA: EMotion-assisted Deep Neural Framework for PERSONAlity Subtyping from Suicide Notes COLING 2022 Evaluating Contextual Embeddings and their Extraction Layers for Depression Assessment ACL 2022 Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media EMNLP 2022 Findings of the Shared Task on Detecting Signs of Depression from Social Media ACL 2022 giniUs @LT-EDI-ACL2022: Aasha: Transformers based Hope-EDI ACL 2022 Hierarchical Attention Network for Evaluating Therapist Empathy in Counseling Session Interspeech 2022 Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load Interspeech 2022 IISERB@LT-EDI-ACL2022: A Bag of Words and Document Embeddings Based Framework to Identify Severity of Depression Over Social Media ACL 2022 Improving Classification of Infrequent Cognitive Distortions: Domain-Specific Model vs. Data Augmentation NAACL 2022 Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires ACL 2022 KADO@LT-EDI-ACL2022: BERT-based Ensembles for Detecting Signs of Depression from Social Media Text ACL 2022 Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios EMNLP 2022 NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media ACL 2022 OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models ACL 2022 PAIR: Prompt-Aware margIn Ranking for Counselor Reflection Scoring in Motivational Interviewing EMNLP 2022 scubeMSEC@LT-EDI-ACL2022: Detection of Depression using Transformer Models ACL 2022