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Luz, Saturnino
Trinity College Dublin
Dublin, Ireland
 
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Saturnino Luz is a lecturer in computer science at Trinity College (Dublin, Ireland), where he currently teaches courses in artificial intelligence, information management, and human-computer interaction. He also conducts research in cooperation with the computational linguistics and machine learning research groups.

The overall goal of his research is to develop novel technologies that might improve the quality of interaction between humans and computers. His interests include a variety of subjects, such as spoken language recognition and processing, computer-supported collaborative work, dialogue systems, software agents, and applications of categorial logics to natural language parsing. Over the past few years, he has worked on inference engines and knowledge representation modules for dialogue systems, developed a system for Internet-based access to large, distributed corpora, and collaborated on projects on spoken language dialogue systems and in the European Network for Intelligent Information Interfaces (i3net). Recently, Luz has been working on interfaces to enable users to retrieve information from multimedia records, on desktop as well as handheld computers.

Despite the fact that a great deal of his work is concerned with making the interaction between humans and computers easier and more natural, Luz sees no problem with writing his papers in LaTeX, editing HTML code in Emacs, or compiling a C program by typing a command line (though he admits that this last one might seem somewhat "unnatural").

 
 
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- 4 of 4 reviews

   
   Why only us: language and evolution
Berwick R., Chomsky N., The MIT Press, Cambridge, MA, 2016. 224 pp.  Type: Book (978-0-262034-24-1)

Although it underlies all our scientific and philosophical endeavors, human language ability remains one of science’s greatest puzzles. Generalizations regarding the functioning of language, the mechanisms that enable infants...

Aug 18 2016  
   Mining of massive datasets
Rajaraman A., Ullman J., Cambridge University Press, New York, NY, 2011. 326 pp.  Type: Book (978-1-107015-35-7)

It has become commonplace to assert the growing importance of large datasets in modern information systems. Consequently, the demand for algorithms and methods that can deal with such data efficiently is increasing. However, there are ...

Jul 30 2012  
   Genomic Perl: from bioinformatics to working code
Dwyer R., Cambridge University Press, New York, NY, 2002. 352 pp.  Type: Book (9780521801775)

Odd as it may seem at first, a book combining the basics of molecular biology and a programming language popular among system administrators and Web programmers can shed considerable light on one of the most active areas of interdiscip...

Mar 5 2004  
   A method for team intention inference
Kanno T., Nakata K., Furuta K. International Journal of Human-Computer Studies 58(4): 393-413, 2003.  Type: Article

Intention recognition became a research topic in computer science through Searle’s work on speech acts, and the various attempts by the artificial intelligence (AI) community to formalize speech act theory. Much of the resear...

Dec 10 2003  
 
 
   
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