DEBII Presentation by Dr Louis Massey from Royal Military College, Canada on "Making Sense of Text: The ReAD Principles"?
DEBI Institute is pleased to invite you to a presentation by Dr Louis Massey from Royal Military College, Canada on “Making Sense of Text: The ReAD Principles” followed by an open discussion.
Dr Louis Massey
Date: Monday, 31st May 2010
Time: 11 am – 12.30 pm followed by a light lunch
Location: DEBII Board Room Enterprise Unit 4, De Laeter Way, Techpark
An important practical problem in artificial intelligence is to design algorithms capable of autonomously determining what a text document is about, that is, its topics. The main motivation in solving this problem is to support information retrieval applications such as web search engines and corporate document management systems. Unfortunately, current techniques such as text clustering and document categorization fail to capture the inherent meaning of text. Given the continually increasing amount of human knowledge stored in electronic text repositories, the resolution of this issue is critical. I will present a totally new type of algorithm that discovers topics in a single text document, without reliance on collection statistics and without the usual bag-of-words vector representation. This talk is not about yet another incremental improvement to existing text clustering or document categorization methods. The algorithm I will present takes the meaning of words into account and is based on principles that differ radically from existing natural language processing and artificial intelligence techniques.
Biography of the speaker
Dr Massey is an Assistant Professor in the department of Computer Science at the Royal Military College of Canada. Before joining academia, he was a senior officer in the Canadian Air Force, specializing in Information Technology support. In that capacity he oversaw the design, operation and maintenance of large secure computing and telecommunication systems. During his military career, Dr Massey also gained a vast practical experience in project management, software engineering and information and knowledge management. His professional experience greatly influenced Dr Massey’s research interests in scalable, real-life textual information management using Adaptive Resonance Theory neural networks. More recently, Dr Massey pioneered a revolutionary method to determine the topics of documents for which a patent has been filed in Aril 2010. Dr Massey also has a profound interest in the human, professional, organisational and social aspects and impacts of computing. In addition to his passion for teaching and research, Dr Massey loves to spend time hiking, writing fiction and painting.