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Professor Massimo Poesio

Massimo

Professor of Computational Linguistics

Email: m.poesio@qmul.ac.uk
Telephone: +44 20 7882 5773
Room Number: Peter Landin, CS 404
Website: http://www.massimopoesio.org

Teaching

Neural Networks and NLP (Postgraduate)

Natural Language Processing (NLP) has become one of the most important technologies in Artificial Intelligence. Automatic methods for processing natural language now find application in almost every aspect of our communication in person or online, in particular through social media. The increased use of Neural Networks has played an important role in the most recent progress of NLP, as NN techniques have delivered improved performance in applications ranging from language modelling (next word prediction) to speech to machine translation to sentiment analysis. The proposed module provides a thorough introduction to this cutting-edge approach to developing NLP systems.

Research

Research Interests:

Computational linguistics/natural language processing, and in particular anaphora resolution/coreference, using games to create resources for NLP, deception detection; using brain data for NLP; distributional semantics. Interaction and dialogue, and in particular the role of attention in interpretation and incremental interpretation in dialogue. Formal semantics.

Publications

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