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Submission + - Aiming to Learn as We Do, a Machine Teaches Itself (nytimes.com)

olegalexandrov writes: NELL is a Carnegie Mellon University project in a widening field of research and investment aimed at enabling computers to better understand the meaning of language. Unlike many other semantic learning systems, NELL is highly automated. Its tools include programs that extract and classify text phrases from the Web, programs that look for patterns and correlations, and programs that learn rules. "The technology is really maturing, and will increasingly be used to gain understanding," said Alfred Spector, vice president of research for Google. "We're on the verge now in this semantic world".
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Aiming to Learn as We Do, a Machine Teaches Itself

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