- Natural Language Processing
- Human-in-the-loop AI
- Information Extraction
My research interest lies in the natural language processing area of information extraction and human-in-the-loop NLP, developing novel algorithms to discover and exploit patterns in free text and metadata to extract actionable human intelligence and machine-readable knowledge. In a juxtaposition to big data approaches, my research has focussed on developing novel solutions to problems where training sets are small, sparse or fragmented in nature. This is very common in areas such as social media posts during breaking news events, emerging topics within online community forums, criminal marketplaces exhibiting deliberate obfuscation, and historical datasets where information can be inaccurately recorded, corrupted or lost over time. I am interested in investigating socio-technical NLP approaches promoting explainable and trustworthy AI, human-in-the-loop approaches and information extraction based on techniques such as few/zero-shot learning, graph-based models, sentence embeddings, domain adaption and argument mining.
Turing Fellow; Fellow of HEA
Personal Webpage with full list of research grants including those from goverment and commercial funders and full details on all publications.