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US Patent 9292490 Unsupervised learning of deep patterns for semantic parsing

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Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9292490
Date of Patent
March 22, 2016
Patent Application Number
13968462
Date Filed
August 16, 2013
Patent Citations Received
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US Patent 12001804 Using communicative discourse trees to detect distributed incompetence
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US Patent 11875118 Detection of deception within text using communicative discourse trees
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US Patent 11960844 Discourse parsing using semantic and syntactic relations
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US Patent 11977568 Building dialogue structure by using communicative discourse trees
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US Patent 11694040 Using communicative discourse trees to detect a request for an explanation
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US Patent 11694037 Enabling rhetorical analysis via the use of communicative discourse trees
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US Patent 11748572 Enabling chatbots by validating argumentation
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US Patent 11748562 Selective deep parsing of natural language content
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Patent Primary Examiner
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Shaun Roberts
Patent abstract

Using exemplary sentences, usage patterns and thematic roles ascribed in VerbNet to generate “deep pattern trees” for the exemplary sentences. Then, when an arbitrary natural language subject sentence is input, these deep pattern trees can be matched to the natural language subject sentence in order to assign thematic roles to at least some of the “grammatical portions” of the natural language subject sentence.

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