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Targeted IE methods are transforming into open-ended techniques.
- 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)
- 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)
The World-Wide Web consists of a huge number of unstructured documents, but it also contains structured data in the form of HTML tables. We extracted 14.1 billion HTML tables from Google’s… (More)
The Web contains a vast amount of structured information such as HTML tables, HTML lists and deep-web databases; there is enormous potential in combining and re-purposing this data in creative ways.… (More)
The World-Wide Web consists of a huge number of unstructured hypertext documents, but it also contains structured data in the form of HTML tables. Many of these tables contain both relational-style… (More)
Traditional information extraction systems have focused on satisfying precise, narrow, pre-specified requests from small, homogeneous corpora. In contrast, the TextRunner system demonstrates a new… (More)
- Michael J. Cafarella, Doug Downey, Stephen Soderland, Oren Etzioni
- HLT/EMNLP
- 2005
Numerous NLP applications rely on search-engine queries, both to extract information from and to compute statistics over the Web corpus. But search engines often limit the number of available… (More)
- Zhe Chen, Michael J. Cafarella
- SSW@VLDB
- 2013
Spreadsheets contain a huge amount of high-value data but do not observe a standard data model and thus are difficult to integrate. A large number of data integration tools exist, but they generally… (More)
- Oren Etzioni, Michael J. Cafarella, +5 authors Alexander Yates
- AAAI
- 2004
Our 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 autonomous, domain-independent, and… (More)