发明名称 DISAMBIGUATING JOIN PATHS FOR NATURAL LANGUAGE QUERIES
摘要 One of the methods includes, obtaining a natural language query from a user; while converting the natural language query into structured operations to be performed on structured application programming interfaces (APIs) of a knowledge base: responsive to detecting a linguistic ambiguity associated with the converting, wherein the linguistic ambiguity identifies two or more interpretations of a word included in the natural langue query: resolving the linguistic ambiguity by selecting an interpretation of the word, from the two or more interpretations of the word, based on one or more join paths that have been generated based on a data schema of the knowledge base; modifying the converting in accordance with the selected interpretation of the word, to generate one or more structured operations; performing the one or more structured operations on the structured APIs of the knowledge base; and returning search results matching the natural language query results to the user.
申请公布号 US2017075891(A1) 申请公布日期 2017.03.16
申请号 US201615261556 申请日期 2016.09.09
申请人 Google Inc. 发明人 Bozkaya Tolga;Dijamco Armand Joseph
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A method comprising: obtaining a natural language query from a user; converting the natural language query into structured operations to be performed on structured application programming interfaces (APIs) of a knowledge base, including: responsive to detecting a linguistic ambiguity in which a word included in the natural language query has two or more interpretations: resolving the linguistic ambiguity by selecting an interpretation of the word, from the two or more interpretations of the word, based on one or more join paths that have been generated based on a data schema of the knowledge base; modifying the natural language query in accordance with the selected interpretation of the word, to generate one or more structured operations; performing the one or more structured operations on the structured APIs of the knowledge base; and returning search results matching the natural language query results to the user; wherein the knowledge base is implemented on one or more computers and one or more storage devices storing instructions to produce operation results based on structured operations; andwherein the knowledge base stores information associated with entities according to the data schema and has the APIs for programs to query the knowledge base.
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