My research interests are focussed on the natural language processing areas of information extraction and human-in-the-loop NLP. Full details can be found on my homepage.
- Natural Language Processing
- Human-in-the-loop NLP: Active Learning, Adversarial Training, Rationale-based Learning, Interactive Sense Making
- Information Extraction: Few/Zero Shot Learning, Graph-based Models, Behaviour Classification, Geoparsing/Location Extraction, Event Extraction, Argument Mining
- Domains: Law Enforcement, Defence, Mental Health, Environmental Science, Social Science
My research interest is in Natural Language Processing (NLP), specially information extraction and human-in-the-loop NLP. In a juxtaposition to NLP areas with web-scale datasets available, my research focuses on developing novel solutions to problems where training datasets are small, evolving, sparse or fragmented in nature. This can involve both finding new ways to fine-tune large language models and researching novel methods to get the most out of smaller models. I am interested in text/behaviour classification, few/zero shot learning, graph-based models, active learning, adversarial training, rationale-based training and argument mining.
Module Leader for Natural Language Processing (NLP) modules COMP3225 (UG) and COMP6253 (PG).
UKRI MINDS CDT management team (STARS Coordinator) responsible for PhD sponsorship, internship and research collaboration.
If you are a student interested in a PhD in NLP then have a look at my research projects and contact me to discuss ideas.