Dr Tayyar Madabushi's long term research goals are focused on investigating methods of incorporating high-level cognitive capabilities into models. In the short and medium term, his research is focused on the infusion of world knowledge, common sense and reasoning into pre-trained language models to improve performance on complex tasks such as multi-hop question answering, conversational agents, and social media analysis.

Dr Tayyar Madabushi completed his PhD in AI, focusing on automated question answering at the University of Birmingham in 2019 and began his current post as Lecturer in Artificial Intelligence at the University of Bath in 2022. His research has been influential in the area of combining construction grammar and pre-trained language models, as he conducted the first exploration in this field, paving the way for further developments. He has also worked on evaluating language models' ability to capture non-compositional multiword expressions (MWEs), which have traditionally posed a challenge for computational models. Furthermore, he organized the SemEval 2022 Task on MWEs as the principal organizer.

Publication record on Google Scholar.

I am looking for highly motivated students for a PhD in Natural Language Processing at the University of Bath. 

AVAILABLE PROJECTS

Eligible and highly motivated students are strongly encouraged to get in touch: htm43 AT bath.ac.uk

Neuro-Symbolic Artificial Intelligence for Efficient and Interpretable Natural Language Understanding

• Apply for the International and UK Studentship funded by ART-AI

Explainable Natural Language Processing for the Analysis of Online Discourse

• Apply for the International and UK Studentship funded by ART-AI

Explainability in Multimodal Deep Learning: Transparent Fusion of Text and Images

• Apply for the International and UK Studentship funded by ART-AI