This repository serves as a curated collection of academic papers and resources focused on empathetic conversational AI, targeting researchers and developers in the field of AI for mental health and emotional support. It aims to consolidate key advancements, methodologies, and datasets, providing a valuable reference for building more emotionally intelligent dialogue systems.

How It Works

The project is structured as a comprehensive, categorized list of research papers. It organizes literature across Surveys, Methods, Datasets, Frameworks, Systems, and Theory. Each entry includes publication venue, title, and crucially, links to the paper itself and associated source code where available, facilitating direct access to implementations and findings.

Quick Start & Requirements

This repository is a curated list and does not require installation or execution. Users can directly browse the categorized links to papers and code.

Highlighted Details

• Extensive coverage of papers from major NLP and AI conferences (ACL, EMNLP, NAACL, AAAI, COLING, etc.).
• Links to source code are provided for many papers, enabling practical implementation.
• Categorization includes not only methods but also relevant datasets, frameworks, and theoretical underpinnings.
• Covers a broad spectrum of related topics including emotion analysis, theory of mind, and mental health applications.

Maintenance & Community

The repository is maintained by Sahandfer. Further community engagement or roadmap details are not explicitly provided in the README.

Licensing & Compatibility

The content of this repository is licensed under CC-BY-4.0. This license permits commercial use and adaptation, provided attribution is given.

Limitations & Caveats

The repository is a curated list and does not host any code or data directly; all links point to external resources. The availability and maintenance of linked code are dependent on the original authors.