Invention Grant
US08499008B2 Mixing knowledge sources with auto learning for improved entity extraction
有权
将知识来源与自动学习相结合,改进实体提取
- Patent Title: Mixing knowledge sources with auto learning for improved entity extraction
- Patent Title (中): 将知识来源与自动学习相结合,改进实体提取
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Application No.: US12509310Application Date: 2009-07-24
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Publication No.: US08499008B2Publication Date: 2013-07-30
- Inventor: Marco Pennacchiotti , Patrick Pantel
- Applicant: Marco Pennacchiotti , Patrick Pantel
- Applicant Address: US CA Sunnyvale
- Assignee: Yahoo! Inc.
- Current Assignee: Yahoo! Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Weaver Austin Villeneuve & Sampson LLP
- Main IPC: G06F17/30
- IPC: G06F17/30

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.
Public/Granted literature
- US20110022550A1 MIXING KNOWLEDGE SOURCES WITH AUTO LEARNING FOR IMPROVED ENTITY EXTRACTION Public/Granted day:2011-01-27
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