Summary: KnowItNow: Fast, Scalable Information Extraction from the Web
Michael J. Cafarella, Doug Downey, Stephen Soderland, Oren Etzioni
Department of Computer Science and Engineering
University of Washington
Seattle, WA 98195-2350
{mjc,ddowney,soderlan,etzioni}@cs.washington.edu
Abstract
Numerous NLP applications rely on
search-engine queries, both to ex-
tract information from and to com-
pute statistics over the Web corpus.
But search engines often limit the
number of available queries. As a
result, query-intensive NLP applica-
tions such as Information Extraction
(IE) distribute their query load over
several days, making IE a slow, off-
line process.
This paper introduces a novel archi-
tecture for IE that obviates queries to

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle
Cafarella, Michael J. - Department of Electrical Engineering and Computer Science, University of Michigan

Collections: Computer Technologies and Information Sciences