Computer Laboratory

Guy Aglionby

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I am a second year PhD student at the University of Cambridge Computer Lab, supervised by Prof Simone Teufel within the Natural Language and Information Processing group. I am also a member of Homerton College. Before this, I completed the MPhil in Advanced Computer Science here and did my BSc in Computer Science at the University of Bristol. My master's research, entitled Modelling polysemy in distributional semantic models, looked at how word sense can be explicitly modelled in DSMs and the benefits of doing so.

I am interested in developing interpretable models for computational multi-hop reasoning as a way of verifying that models are not reaching conclusions through incorrect or spurious reasoning processes, and as a way of exploring what explicit reasoning looks like. I do this by successively applying 'common sense' information stored symbolically in a knowledge graph, and examine patterns of usage in the course of multiple-choice question answering and natural language inference. Core to my research is that any reasoning system should be robust to changes in the dataset and task that are used for evaluation.

I jointly organise the weekly NLIP seminar series, usually held at noon on Fridays. If you're in Cambridge (or nearby) and would like to give a talk, please drop me an email at the address below.

Outside of the lab I enjoy Taekwondo and kickboxing, and am the president of the kickboxing society.

Publications

CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets (pdf)
Guy Aglionby, Christopher Davis, Pushkar Mishra, Andrew Caines, Helen Yannakoudakis, Marek Rei, Ekaterina Shutova and Paula Buttery
In Proceedings of the International Workshop on Semantic Evaluation 2019 (SemEval 2019)
Minneapolis, USA, 2019

Teaching

Contact

Email: firstname.lastname@cl.cam.ac.uk
Phone: +44 (0)1223 763558

Department of Computer Science and Technology
University of Cambridge
15 JJ Thomson Avenue
Cambridge CB3 0FD

Last updated 2019/11/12