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Suresh Manandhar, PhD

Natural Language Processing, Machine Learning, Artificial Intelligence

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Until September 2019, I was a Reader at Department of Computer Science, University of York, UK. I am generally interested in a wide range of topics related to natural language processing. These span grammar formalisms, constraint logics, constraint solving, machine learning, learning of lexical relations, question answering systems, minimally supervised learning of syntax, semantics and morphology.

If you are interested in studying for a PhD then please contact me. Some of my current research themes are latent variable models (including quantum models) for compositional distributional semantics, community discovery using content and link analysis, answering complex questions, unsupervised learning of morphology, named entities and semantic relations.