Abstract
This paper describes Seeker, a platform for large-scale text analytics,
and SemTag, an application written on the platform to perform
automated semantic tagging of large corpora. We apply SemTag to
a collection of approximately 264 million web pages, and generate
approximately 434 million automatically disambiguated semantic
tags, published to the web as a label bureau providing metadata regarding
the 434 million annotations. To our knowledge, this is the
largest scale semantic tagging effort...
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