Georgia Tech's Social and Language Technologies (SALT) group aims to build socially-aware language technologies. Broadly, we study both content and social aspects of human language (e.g., what is said, who says it, in what context, for what goals), via methods of natural language processing, deep learning, and machine learning as well as theories in social science and linguistics, with the implications of developing interventions to facilitate human-human and human-machine communication.
- Machine learning for low-resourced NLP tasks
- Stylistic text generation and summarization
- NLP for mental health and well-being (e.g., social support, health intervention)
- Language and human behavior (e.g., humor, persuasion, social roles, hate speech)
- Bias and fairness in language use (e.g., debiasing, discrimination)