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Professor Rob Gaizauskas, University of Sheffield
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Monday 05 October 2009
19:00
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The Showroom |
In his landmark 1950 paper "Computing Machinery and Intelligence",
Alan Turing proposed conversation as the ultimate test of machine
intelligence: if we cannot distinguish a computer from a human in
conversation then we may deem the computer intelligent. Turing also
speculated that computers would achieve this capability by the year
2000. 2000 has now come and gone, and despite the phenomenal advances
in computing since 1950, the "Turing Test" has not yet been
passed. Why not? And what have computer scientists, computational
linguists and artificial intelligence researchers been up to in the
interim in order to get computers to "understand" human language?
In this talk I will discuss just what it is that makes human language
so difficult for computers to interpret and describe some of the
approaches that researchers have taken to address this problem. While
the holy grail of human-like language understanding remains illusive,
significant advances have been made, advances that are leading to a
improved language processing capabilities embedded in applications
ranging from question answering and text mining to machine
translation, task-based dialogue systems and plagiarism detection.
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Web space Kindly Provided by QR8
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