Knowledge corroboration is described. In an embodiment many judges provide answers to many questions so that at least one answer is provided to each question and at least some of the questions have answers from more than one judge. In an example a probabilistic learning system takes features describing the judges or the questions or both and uses those features to learn an expertise of each judge. For example, the probabilistic learning system has a graphical assessment component which aggregates the answers in a manner which takes into account the learnt expertise in order to determine enhanced answers. In an example the enhanced answers are used for knowledge base clean-up or web-page classification and the learnt expertise is used to select judges for future questions. In an example the probabilistic learning system has a logical component that propagates answers according to logical relations between the questions.
申请公布号
US2012150771(A1)
申请公布日期
2012.06.14
申请号
US20100963352
申请日期
2010.12.08
申请人
KASNECI GJERGJI;MARIE VAN GAEL JURGEN ANN FRANCOIS;GRAEPEL THORE;HERBRICH RALF;STERN DAVID;MICROSOFT CORPORATION
发明人
KASNECI GJERGJI;MARIE VAN GAEL JURGEN ANN FRANCOIS;GRAEPEL THORE;HERBRICH RALF;STERN DAVID