Invention Application
- Patent Title: LEARNING SEMANTIC PARSING
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Application No.: US13922438Application Date: 2013-06-20
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Publication No.: US20170308519A1Publication Date: 2017-10-26
- Inventor: Fuchun Peng , Ben Shahshahani , Howard Scott Roy
- Applicant: Google Inc.
- Main IPC: G06F17/27
- IPC: G06F17/27

Abstract:
A server accesses an initial query associated with a classification, the classification corresponding to a likely intent of the initial query. The server obtains a set of queries, wherein each query in the set of queries is identified as having resulted in one or more users selecting a resource that was selected by one or more users in response to submitting the initial query. The server then determines a metric for one or more queries in the set of queries, wherein the metric for each of the one or more queries in the set of queries is based on a similarity between the respective query and the initial query. Next, the server selects a subset of queries from the set of queries based on the metric for each selected query satisfying a threshold and associates the selected subset of queries with the classification of the initial query.
Information query