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US Patent 11586827 Generating desired discourse structure from an arbitrary text

Patent 11586827 was granted and assigned to Oracle on February, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Oracle
Oracle
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Current Assignee
Oracle
Oracle
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
115868270
Date of Patent
February 21, 2023
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Patent Application Number
167898490
Date Filed
February 13, 2020
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Patent Citations
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US Patent 10679011 Enabling chatbots by detecting and supporting argumentation
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US Patent 10796099 Enabling autonomous agents to discriminate between questions and requests
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US Patent 10796102 Enabling rhetorical analysis via the use of communicative discourse trees
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US Patent 10817670 Enabling chatbots by validating argumentation
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US Patent 10853581 Enabling rhetorical analysis via the use of communicative discourse trees
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US Patent 11100144 Data loss prevention system for cloud security based on document discourse analysis
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US Patent 11023684 Systems and methods for automatic generation of questions from text
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US Patent 10019716 Method for feedback submission resolution
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Patent Citations Received
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US Patent 12067361 System and method for infusing knowledge graphs and language models for natural language sentence pair applications
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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 11775771 Enabling rhetorical analysis via the use of communicative discourse trees
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US Patent 11783126 Enabling chatbots by detecting and supporting affective argumentation
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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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Patent Primary Examiner
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Lamont M Spooner
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CPC Code
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G06F 40/253
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G06F 40/268
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G06F 40/284
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G06F 40/30
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G06F 40/211
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Systems, devices, and methods of the present disclosure use discourse analysis and other techniques to form questions and answers from text. The questions and answers can be used for different applications, including providing a virtual dialogue or generating training data for machine-learning models. For example, a dialogue application generates a discourse tree that represents text and identifies a question from a satellite elementary discourse unit of the discourse tree. The dialogue application annotates the text by inserting the generated question and labeling the satellite elementary discourse unit as an answer.

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