Copertina

Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Burdisso, Sergio, Villatoro-Tello, Esaú, Madikeri, Srikanth, Motlicek, Petr
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction
di: Burdisso, Sergio, et al.
Pubblicazione: (2024)

DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews
di: Burdisso, Sergio, et al.
Pubblicazione: (2024)

Reliability Estimation of News Media Sources: Birds of a Feather Flock Together
di: Burdisso, Sergio, et al.
Pubblicazione: (2024)

When Consistency Becomes Bias: Interviewer Effects in Semi-Structured Clinical Interviews
di: Watawana, Hasindri, et al.
Pubblicazione: (2026)

Mapping the Media Landscape: Predicting Factual Reporting and Political Bias Through Web Interactions
di: Sánchez-Cortés, Dairazalia, et al.
Pubblicazione: (2024)

SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation
di: Burdisso, Sergio, et al.
Pubblicazione: (2025)

Distilling Conversations: Abstract Compression of Conversational Audio Context for LLM-based ASR
di: Kumar, Shashi, et al.
Pubblicazione: (2026)

IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach
di: Burdisso, Sergio, et al.
Pubblicazione: (2022)

TokenVerse: Towards Unifying Speech and NLP Tasks via Transducer-based ASR
di: Kumar, Shashi, et al.
Pubblicazione: (2024)

SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation
di: Burdisso, Sergio, et al.
Pubblicazione: (2025)

Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks
di: Villatoro-Tello, Esaú, et al.
Pubblicazione: (2022)

Performance evaluation of SLAM-ASR: The Good, the Bad, the Ugly, and the Way Forward
di: Kumar, Shashi, et al.
Pubblicazione: (2024)

Reducing Prompt Sensitivity in LLM-based Speech Recognition Through Learnable Projection
di: Burdisso, Sergio, et al.
Pubblicazione: (2026)

TokenVerse++: Towards Flexible Multitask Learning with Dynamic Task Activation
di: Kumar, Shashi, et al.
Pubblicazione: (2025)

Text-only adaptation in LLM-based ASR through text denoising
di: Carofilis, Andrés, et al.
Pubblicazione: (2026)

Unifying Global and Near-Context Biasing in a Single Trie Pass
di: Thorbecke, Iuliia, et al.
Pubblicazione: (2024)

Better Semi-supervised Learning for Multi-domain ASR Through Incremental Retraining and Data Filtering
di: Carofilis, Andres, et al.
Pubblicazione: (2025)

Efficient Data Selection for Domain Adaptation of ASR Using Pseudo-Labels and Multi-Stage Filtering
di: Rangappa, Pradeep, et al.
Pubblicazione: (2025)

Fast Streaming Transducer ASR Prototyping via Knowledge Distillation with Whisper
di: Thorbecke, Iuliia, et al.
Pubblicazione: (2024)

L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification
di: Liang, Qiuyu, et al.
Pubblicazione: (2024)

Closing the Speech-Text Gap with Limited Audio for Effective Domain Adaptation in LLM-Based ASR
di: Bañeras-Roux, Thibault, et al.
Pubblicazione: (2026)

Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration
di: Zhao, Xianbing, et al.
Pubblicazione: (2025)

XLSR-Transducer: Streaming ASR for Self-Supervised Pretrained Models
di: Kumar, Shashi, et al.
Pubblicazione: (2024)

Contradiction Detection in RAG Systems: Evaluating LLMs as Context Validators for Improved Information Consistency
di: Gokul, Vignesh, et al.
Pubblicazione: (2025)

Do Audio LLMs Really LISTEN, or Just Transcribe? Measuring Lexical vs. Acoustic Emotion Cues Reliance
di: Chen, Jingyi, et al.
Pubblicazione: (2025)

Detecting PTSD in Clinical Interviews: A Comparative Analysis of NLP Methods and Large Language Models
di: Chen, Feng, et al.
Pubblicazione: (2025)

Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis
di: Huang, Xiang, et al.
Pubblicazione: (2025)

LAWCAT: Efficient Distillation from Quadratic to Linear Attention with Convolution across Tokens for Long Context Modeling
di: Liu, Zeyu, et al.
Pubblicazione: (2025)

Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs
di: Lin, Xinyu, et al.
Pubblicazione: (2024)

GMLM: Bridging Graph Neural Networks and Language Models for Heterophilic Node Classification
di: Sinha, Aarush
Pubblicazione: (2025)

GEGA: Graph Convolutional Networks and Evidence Retrieval Guided Attention for Enhanced Document-level Relation Extraction
di: Mao, Yanxu, et al.
Pubblicazione: (2024)

Benchmarking Generative AI for Scoring Medical Student Interviews in Objective Structured Clinical Examinations (OSCEs)
di: Geathers, Jadon, et al.
Pubblicazione: (2025)

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models
di: Nguyen, Tri, et al.
Pubblicazione: (2025)

GPT-4 on Clinic Depression Assessment: An LLM-Based Pilot Study
di: Lorenzoni, Giuliano, et al.
Pubblicazione: (2024)

MOGAM: A Multimodal Object-oriented Graph Attention Model for Depression Detection
di: Cha, Junyeop, et al.
Pubblicazione: (2024)

DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition
di: Ai, Wei, et al.
Pubblicazione: (2023)

Depression Detection on Social Media with Large Language Models
di: Lan, Xiaochong, et al.
Pubblicazione: (2024)

PSI-Bench: Towards Clinically Grounded and Interpretable Evaluation of Depression Patient Simulators
di: Hoang, Nguyen Khoi, et al.
Pubblicazione: (2026)

TalkDep: Clinically Grounded LLM Personas for Conversation-Centric Depression Screening
di: Wang, Xi, et al.
Pubblicazione: (2025)

Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning
di: Chen, Zhuang, et al.
Pubblicazione: (2025)