Georgia Tech's Social and Language Technologies (SALT) lab studies Social NLP. Broadly, we research 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.
- Language and Social Interaction: modeling the use of language in social contexts, e.g., persuasion, social roles, bias
- Stylistic and Personalized Language Generation: incorporating styles, structures, and personalization into text generation
- Learning with Limited and Noisy Text Data: learning with weak supervision for socially lowr-resourced tasks
- NLP for Good Healthcare: building language-mediated systems for improved mental health and well-being
Undergraduate and Master Students