Invention Grant
- Patent Title: Entity recognition using probabilities for out-of-collection data
- Patent Title (中): 使用不合规数据的概率进行实体识别
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Application No.: US13162563Application Date: 2011-06-16
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Publication No.: US09104979B2Publication Date: 2015-08-11
- Inventor: Emre Kiciman , Abulimiti Aji , Kuansan Wang
- Applicant: Emre Kiciman , Abulimiti Aji , Kuansan Wang
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agent Steve Wight; Doug Barker; Micky Minhas
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06N99/00

Abstract:
A classifier that disambiguates among entities based on a dictionary, such as corpus of documents about those entities, is built by incorporating probabilities that an entity exists that is not in the dictionary. Given a document it is associated by the classifier with an entity. By incorporating out of collection probabilities into the classifier, a higher level of confidence in the match between an entity and a document is achieved.
Public/Granted literature
- US20120323839A1 ENTITY RECOGNITION USING PROBABILITIES FOR OUT-OF-COLLECTION DATA Public/Granted day:2012-12-20
Information query