发明申请
US20120323839A1 ENTITY RECOGNITION USING PROBABILITIES FOR OUT-OF-COLLECTION DATA 有权
使用无法收集数据的概率的实体识别

ENTITY RECOGNITION USING PROBABILITIES FOR OUT-OF-COLLECTION DATA
摘要:
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.
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