Research interests

Although my original core expertise intersects with Natural Language Processing(NLP) and Ontology Development, I have expanded and diversified my research capacity over the years to opinion mining, and multilingual opinion mining of social media (application in finance, politics and online safety). Philosophically, I am orientated to the practice of language engineering which aims to bridge the gap between computational linguistics/language processing research and the implementation of practical applications with potential real-world use. Hence in the context of modern neural NLP, I often focus on the construction of practical/real world language processing systems whose costs and outputs are not only measurable and predictable but reusable, controllable and explainable. Since arriving in DCU, I have grown my own NLP research team, which focuses on the following language processing applications  i) pipelined neural architectures for building Data2Text Natural Language Generation (NLG) systems ii) bias detection and removal with the context of resume text analysis in the hiring and recruitment domains iii) applications of NLP to cyberbullying detection in short noisy texts domains in collaboration with the DCU Anti-Bullying Centre (ABC) located in DCU’s Institute of Education.