发明名称 Information extraction in a natural language understanding system
摘要 A method of extracting information from text within a natural language understanding system can include processing a text input through at least one statistical model for each of a plurality of features to be extracted from the text input. For each feature, at least one value can be determined, at least in part, using the statistical model associated with the feature. One value for each feature can be combined to create a complex information target. The complex information target can be output.
申请公布号 US9454525(B2) 申请公布日期 2016.09.27
申请号 US201313897780 申请日期 2013.05.20
申请人 INTERNATIONAL BUSINESS MACHINES CORPORATION 发明人 Balchandran Rajesh;Boyer Linda M.;Purdy Gregory
分类号 G06F17/28;G06F17/27 主分类号 G06F17/28
代理机构 Cuenot, Forsythe & Kim, LLC 代理人 Cuenot, Forsythe & Kim, LLC
主权项 1. A method of extracting information from a text input received by a natural language understanding system, comprising: parsing the text input to extract a plurality of features from the text input; processing each of the plurality of features through a plurality of statistical models to obtain at least one value; searching the text input for at least one named entity; determining a value for a feature based upon the at least one named entity located within the text input; combining, via a processor, one value for each of the plurality of features to create a complex information target; and outputting the complex information target, wherein the complex information target indicates a meaning for the text input.
地址 Armonk NY US