depression detection

Mapping Long-term Causalities in Psychiatric Symptomatology and Life Events from Social Media NAACL 2024 MentalHelp: A Multi-Task Dataset for Mental Health in Social Media COLING 2024 MentalRiskES: A New Corpus for Early Detection of Mental Disorders in Spanish COLING 2024 Monitoring Depression Severity and Symptoms in User-Generated Content: An Annotation Scheme and Guidelines ACL 2024 Self-Supervised Embeddings for Detecting Individual Symptoms of Depression Interspeech 2024 When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection EMNLP 2024 Your Model Is Not Predicting Depression Well And That Is Why: A Case Study of PRIMATE Dataset EACL 2024 A Multimodal Investigation of Speech, Text, Cognitive and Facial Video Features for Characterizing Depression With and Without Medication Interspeech 2023 Bayesian Networks for the robust and unbiased prediction of depression and its symptoms utilizing speech and multimodal data Interspeech 2023 FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning EMNLP 2023 FTA-net: A Frequency and Time Attention Network for Speech Depression Detection Interspeech 2023 JAMFN: Joint Attention Multi-Scale Fusion Network for Depression Detection Interspeech 2023 Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews Interspeech 2023 Non-uniform Speaker Disentanglement For Depression Detection From Raw Speech Signals Interspeech 2023 ReCLR: Reference-Enhanced Contrastive Learning of Audio Representation for Depression Detection Interspeech 2023 Semantic Similarity Models for Depression Severity Estimation EMNLP 2023 Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media ACL 2023 The Androids Corpus: A New Publicly Available Benchmark for Speech Based Depression Detection Interspeech 2023 Towards Identifying Fine-Grained Depression Symptoms from Memes ACL 2023 AraDepSu: Detecting Depression and Suicidal Ideation in Arabic Tweets Using Transformers EMNLP 2022 Are You Really Okay? A Transfer Learning-based Approach for Identification of Underlying Mental Illnesses NAACL 2022 A Step Towards Preserving Speakers’ Identity While Detecting Depression Via Speaker Disentanglement Interspeech 2022 A unified framework for cross-domain and cross-task learning of mental health conditions EMNLP 2022 BERT 4EVER@LT-EDI-ACL2022-Detecting signs of Depression from Social Media:Detecting Depression in Social Media using Prompt-Learning and Word-Emotion Cluster ACL 2022 Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data COLING 2022