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Mark Jerome Steedman is Professor of Cognitive Science in the School of Informatics at the University of Edinburgh, to which he moved in 1998 from the University of Pennsylvania, where he taught for many years as Professor in the Department of Computer and Information Science. He is a Fellow of the British Academy, the Royal Society of Edinburgh, and the American Association for Artificial Intelligence.
His research covers a range of problems in computational linguistics, artificial intelligence, computer science, and cognitive science, including syntax and semantics of natural language, and parsing and comprehension of natural language discourse by humans and by machine using Combinatory Categorial Grammar (CCG). Much of his current NLP research concerns wide-coverage parsing for robust semantic interpretation and natural language inference. Some of his research concerns the analysis of music by humans and machines.
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.
Presentation Slides: Presentation Slides (48p, 199KB)