Gerard Salton (1927- 1995) A towering figure in the field of information retrieval, Gerard Salton synthesized ideas from mathematics, statistics, and natural language processing to create a scientific basis for extracting semantics from word frequency. The impact of his contributions is profound - five textbooks, over 150 research papers, and dozens of Ph.D. students. The modern computer science and information science research scene, with its terabyte databases, Web, and related technologies, owes a great deal to Gerry's pioneering efforts.
This lecture series honors our former colleague with speakers who similarly are innovators in their fields.
Professor of Computer Science and Cognitive Science
His research has always been in the area of language understanding or technologies which relate to it, such as knowledge representation, reasoning under uncertainty, and learning. Over the last few years he has been interested in statistical techniques for language understanding. His research in this area has included work in the subareas of part-of-speech tagging, probabilistic context-free grammar induction, and, more recently, syntactic disambiguation through word statistics, efficient syntactic parsing, and lexical resource acquisition through statistical means.