Google Researchers Share Insights
June 5, 2012
More explanations of how Google’s smart system becomes so intelligent; not too much illumination on precision and recall however. Research Blog hosts a post from a Google research team titled “From Words to Concepts and Back: Dictionaries for Linking Text, Entities and Ideas.” They begin by laying out the primary Google challenge:
“Human language is both rich and ambiguous. When we hear or read words, we resolve meanings to mental representations, for example recognizing and linking names to the intended persons, locations or organizations. Bridging words and meaning — from turning search queries into relevant results to suggesting targeted keywords for advertisers — is also Google’s core competency, and important for many other tasks in information retrieval and natural language processing.”
Researchers Valentin Spitkovsky and Peter Norvig go on to detail some of the techniques they have used, including building on the traditional encyclopedia model, much like Wikipedia. They then get into some technical particulars like language strings and inverted indexes; see the article for more. Or for in-depth detail, see the teams paper, “A Cross-Lingual Dictionary for English Wikipedia Concepts.”
Cynthia Murrell, June 5, 2012
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