SC15 Probabilistic Models for Natural Language Processing using CCG
1. Linguistics, Computation, and Modeling Human Language
Link to the slides: http://homepages.inf.ed.ac.uk/steedman/papers/ccg/ikdoz17.1.pdf
2. Combinatory Categorial Grammar for NLP
3. Wide Coverage Parsing with CCG
Slides can be downloaded from günne.ik
4. Robust Semantics for NLP
Understanding the relation between Linguistics and Statistical NLPLiterature
Steedman and Baldridge (2011) Combinatory Categorial Grammar, in R. Borsley and K. Borjars (eds.) Non-Transformational Syntax, 181-224, Blackwell.
Lewis and Steedman (2014) Improved CCG Parsing with Semi-supervised Supertagging, Transaction of the ACL, 2, 327-328.
Lecture Room 4Course requirements
Mark Steedman is a computational linguist and cognitive scientist.
Steedman graduated from the University of Sussex in 1968, with a B.Sc. in Experimental Psychology, and from the University of Edinburgh in 1973, with a Ph.D. in Artificial Intelligence (Dissertation:The Formal Description of Musical Perception. Advisor: Prof. H.C. Longuet-Higgins FRS).
He has held posts as Lecturer in Psychology, University of Warwick (1977–83); Lecturer and Reader in Computational Linguistics, University of Edinburgh (1983-8); Associate and full Professor in Computer and Information Sciences, University of Pennsylvania (1988–98). He has held visiting positions at the University of Texas at Austin, the Max Planck Institute for Psycholinguistics, Nijmegen, and the University of Pennsylvania, Philadelphia.
Steedman currently holds the Chair of Cognitive Science in the School of Informatics at the University of Edinburgh (1998- ). He works in computational linguistics, artificial intelligence, and cognitive science, on Generation of Meaningful Intonation for Speech by Artificial Agents, Animated Conversation, The Communicative Use of Gesture, Tense and Aspect, and Combinatory Categorial Grammar (CCG). He is also interested in Computational Musical Analysis and Combinatory Logic.