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US Patent 11783126 Enabling chatbots by detecting and supporting affective argumentation

Patent 11783126 was granted and assigned to Oracle on October, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Oracle
Oracle
Current Assignee
Oracle
Oracle
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11783126
Patent Inventor Names
Boris Galitsky
Date of Patent
October 10, 2023
Patent Application Number
17017225
Date Filed
September 10, 2020
Patent Citations
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US Patent 8694303 Systems and methods for tuning parameters in statistical machine translation
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US Patent 7152031 Construction, manipulation, and comparison of a multi-dimensional semantic space
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US Patent 7359860 Call flow object model in a speech recognition system
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US Patent 7519529 System and methods for inferring informational goals and preferred level of detail of results in response to questions posed to an automated information-retrieval or question-answering service
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US Patent 7551552 Method for providing guaranteed distributed failure notification
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US Patent 7840556 Managing performance of a database query
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US Patent 10019716 Method for feedback submission resolution
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US Patent 10175865 Evaluating conversation data based on risk factors
...
Patent Citations Received
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US Patent 11989525 Techniques for generating multi-modal discourse trees
0
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US Patent 12074874 High-fidelity data management for cross domain analytics
0
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US Patent 12010075 Utilizing machine learning models to generate interactive digital text threads with personalized digital text reply options
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US Patent 12001804 Using communicative discourse trees to detect distributed incompetence
0
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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
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 40/211
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G06F 40/30
Patent abstract

Systems, devices, and methods of the present invention detect affective argumentation in text. In an example, an application executing on a computing device accesses text comprising fragments. The application creates a discourse tree from the text. The discourse tree includes nodes, each nonterminal node representing a rhetorical relationship between two of the fragments and each terminal node of the nodes of the discourse tree is associated with one of the fragments. The application matches each fragment that has a verb to a verb signature, thereby creating a communicative discourse tree. The application determines whether the communicative discourse tree represents text that includes affective argumentation by applying a classification model trained to detect affective argumentation to the communicative discourse tree.

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