Dr Julian Hough
Lecturer & Turing Fellow
artificial systems, Artificial Intelligence, incremental processing, interactive responsiveness
My principal research interests are in the study of spoken (and non-verbal) dialogue and in dialogue systems (generally considered a subfield of Computational Linguistics/Natural Language Processing). I am concerned in general with following questions:
- How do people repair their own speech in dialogue when encountering trouble? (disfluency)
- How do people combine speech and physical action when communicating in task-orientated settings?
- What are the best models for putting this information into machines (robots and avatars) to make interaction more natural?
For more details and all publications please see my personal homepage.
PURVER MRJ, HOUGH J
and HOWES C (2018). Computational Models of Miscommunication Phenomena. Wiley Topics in Cognitive Science 10.1111/tops.12324
and PURVER MRJ (2017). Probabilistic Record Type Lattices for Incremental Reference Processing. Modern Perspectives in Type-Theoretical Semantics
, Editors: Chatzikyriakidis S and Luo Z. Springer International Publishing 10.1007/978-3-319-50422-3_8
, HOWES C, HOUGH J
and PURVER MRJ (2016). Better late than Now-or-Never: The case of interactive repair phenomena. Cambridge University Press (Cup): Stm Journals Behavioral and Brain Sciences
vol. 39, e76-e76. 10.1017/S0140525X15000813
Purver M, Hough J
and Gregoromichelaki E (2014). Dialogue and Compound Contributions. Natural Language Generation in Interactive Systems
, Editors: Stent A and Bangalore S. Cambridge University Press 10.1017/CBO9780511844492.004
Eshghi A, Purver M, Hough J
and Sato Y (2013). Probabilistic Grammar Induction in an Incremental Semantic Framework. Constraint Solving and Language Processing - 7th International Workshop, Cslp 2012, OrléAns, France, September 2012. Revised Sel
, Editors: Duchier D and Parmentier Y. Springer 10.1007/978-3-642-41578-4_6