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- Anthony Fader, Stephen Soderland, Oren Etzioni
- EMNLP
- 2011
Open Information Extraction (IE) is the task of extracting assertions from massive corpora without requiring a pre-specified vocabulary. This paper shows that the output of state-ofthe-art Open IE… (More)
- Alan Ritter, Sam Clark, Mausam, Oren Etzioni
- EMNLP
- 2011
People tweet more than 100 Million times daily, yielding a noisy, informal, but sometimes informative corpus of 140-character messages that mirrors the zeitgeist in an unprecedented manner. The… (More)
- Oren Zamir, Oren Etzioni
- SIGIR
- 1998
Users of Web search engines are often forced to sift through the long ordered list of document “snippets” returned by the engines. The IR community has explored document clustering as an alternative… (More)
- Mausam, Michael Schmitz, Stephen Soderland, Robert Bart, Oren Etzioni
- EMNLP-CoNLL
- 2012
Open Information Extraction (IE) systems extract relational tuples from text, without requiring a pre-specified vocabulary, by identifying relation phrases and associated arguments in arbitrary… (More)
- Oren Etzioni, Michael J. Cafarella, +5 authors Alexander Yates
- Artif. Intell.
- 2005
The KNOWITALL system aims to automate the tedious process of extracting large collections of facts ( e.g., names of scientists or politicians) from the Web in an unsupervised, domain-independent, and… (More)
- Ana-Maria Popescu, Oren Etzioni
- HLT/EMNLP
- 2005
Consumers are often forced to wade through many on-line reviews in order to make an informed product choice. This paper introduces OPINE, an unsupervised informationextraction system which mines… (More)
- Oren Etzioni, Michael J. Cafarella, +6 authors Alexander Yates
- WWW
- 2004
Manually querying search engines in order to accumulate a large bodyof factual information is a tedious, error-prone process of piecemealsearch. Search engines retrieve and rank potentially… (More)
- Michele Banko, Oren Etzioni
- ACL
- 2008
Traditional Information Extraction (IE) takes a relation name and hand-tagged examples of that relation as input. Open IE is a relationindependent extraction paradigm that is tailored to massive and… (More)
- Oren Etzioni, Anthony Fader, Janara Christensen, Stephen Soderland, Mausam
- IJCAI
- 2011
How do we scale information extraction to the massive size and unprecedented heterogeneity of the Web corpus? Beginning in 2003, our KnowItAll project has sought to extract high-quality knowledge… (More)