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US Patent 11556698 Augmenting textual explanations with complete discourse trees

Patent 11556698 was granted and assigned to Oracle on January, 2023 by the United States Patent and Trademark Office.

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TimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Oracle
Oracle
1
Current Assignee
Oracle
Oracle
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
115566981
Patent Inventor Names
Boris Galitsky1
Date of Patent
January 17, 2023
1
Patent Application Number
169020151
Date Filed
June 15, 2020
1
Patent Citations
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US Patent 10853574 Navigating electronic documents using domain discourse trees
1
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US Patent 11100144 Data loss prevention system for cloud security based on document discourse analysis
1
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US Patent 11295085 Navigating electronic documents using domain discourse trees
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US Patent 11328016 Constructing imaginary discourse trees to improve answering convergent questions
1
Patent Citations Received
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US Patent 11763072 System and method for implementing a document quality analysis and review tool
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US Patent 11880652 Detecting hypocrisy in text
3
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US Patent 11782985 Constructing imaginary discourse trees to improve answering convergent questions
Patent Primary Examiner
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Wilson W Tsui
1
CPC Code
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G06K 9/6259
1
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G06F 40/289
1
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G06F 40/169
1
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G06F 40/253
1
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G06F 40/211
1
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G06F 40/35
1
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G06N 20/00
1

Systems, devices, and methods discussed herein provide improved autonomous agent applications that are configured to provide explanations in response to user-submitted questions. Training data comprising a question, and an explanation pair may be accessed. A discourse tree and an explanation chain can be constructed from the explanation. The explanation chain may identify logical relationships between two entities of elementary discourse units identified from the discourse tree. A query may be submitted for the two entities, and a set of search results can be mined to identify text linking the two entities. An additional discourse tree can be generated from the text of a search result. The additional discourse tree can be combined with the original discourse tree to generate a complete discourse tree. A model may be trained using this augmented data (e.g., the complete discourse tree) to improve the quality of explanations provided by the autonomous agent application.

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