发明名称 Training a statistical parser on noisy data by filtering
摘要 A filtering or identifying approach is disclosed and applied to the task of unsupervised adaptation of a parsing model to a selected domain. In particular, unannotated text data from the selected domain is parsed using a first parser. A subset of the parsed text is then selected and used to train an improved model using a training module which can be of the type that outputs a parsing model that is usable by the first parser or can be of the type that outputs a parsing model that is usable by another type of parser.
申请公布号 US2006277028(A1) 申请公布日期 2006.12.07
申请号 US20050142703 申请日期 2005.06.01
申请人 MICROSOFT CORPORATION 发明人 CHEN JOHN T.;JIANG JINJING
分类号 G06F17/28 主分类号 G06F17/28
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