Note that this project is available as an undergraduate winter scholarship project

To understand human behaviour, researchers often analyse discourse---records of what people say and do. One commonly studied type of discourse is language in the form of text. While there have been many advances in natural language processing (NLP), discourse analysis often still requires laborious human effort. For example, large amounts of text data still need to be annotated by humans in order to train NLP models. The advent of generative AI tools like ChatGPT offers a potential way to address this issue by offloading some of this effort. However, while the capabilities of generative for creating text are well documented, less is known about their ability to annotate text.