Mixing knowledge sources with auto learning for improved entity extraction
US8499008B2 · kind B2 · utility
8Cited by
1References
20Claims
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Key dates
| Filing date | Jul 24, 2009 |
| Grant date | Jul 30, 2013 |
| Priority date | — |
| Expiry date | Jun 9, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed embodiments of computer systems and techniques utilize an ensemble semantics framework to combine knowledge acquisition systems that yield significantly higher quality resources than each system in isolation. Gains in entity extraction are achieved by combining state-of-the-art distributional and pattern-based systems with a large set of features from, for example, a webcrawl, query logs, and wisdom of the crowd sources. This results in improved query interpretation and greater relevancy in providing search results and advertising, for example.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.