Theorizing from Data: Avoiding the Capital Mistake
"It is a capital mistake to theorize before one has data."
Sir Arthur Conan Doyle's words from 1891 remain true today.
Researchers in computational linguistics and information retrieval now have a
million times more data than was available 30 years ago. This talk explores
what this data can do for problems in language understanding, translation,
information extraction, and inference, and extrapolates to what more data
may bring in the future.
Peter Norvig is the Director of Research
at Google Inc, where he has been since 2001. He is a Fellow of the American
Association for Artificial Intelligence and co-author of Artificial
Intelligence: A Modern Approach, the leading textbook in the field.
Previously he was head of Computational Sciences at NASA and a faculty
member at USC and Berkeley.
Food will be provided.
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