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US Patent 11537645 Building dialogue structure by using communicative discourse trees

Patent 11537645 was granted and assigned to Oracle on December, 2022 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
11537645
Date of Patent
December 27, 2022
Patent Application Number
16240232
Date Filed
January 4, 2019
Patent Citations
‌
US Patent 10817670 Enabling chatbots by validating argumentation
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US Patent 10839154 Enabling chatbots by detecting and supporting affective 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 11328016 Constructing imaginary discourse trees to improve answering convergent questions
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US Patent 11347946 Utilizing discourse structure of noisy user-generated content for chatbot learning
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US Patent 11386274 Using communicative discourse trees to detect distributed incompetence
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US Patent 11373632 Using communicative discourse trees to create a virtual persuasive dialogue
...
Patent Citations Received
‌
US Patent 11977568 Building dialogue structure by using communicative discourse trees
0
Patent Primary Examiner
‌
Hicham Skhoun
CPC Code
‌
G06F 40/35
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G06K 9/6276
‌
G10L 15/08
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G06F 16/3329
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G06N 5/003
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G06N 5/022
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G06N 3/006
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G06N 20/10
...

Systems, devices, and methods of the present invention detect rhetoric agreement between texts. In an example, a rhetoric agreement application accesses a multi-part initial query and generates a question communicative discourse tree that represents rhetorical relationships between fragments of the query. The application identifies a sub-discourse tree from the question communicative discourse tree. The application generates a candidate answer communicative discourse tree for each candidate answer of a set of candidate answers. The application computes a level of complementarity between the sub-discourse tree and each candidate answer discourse tree by applying a classification model to the sub-discourse tree and candidate answer communicative discourse trees. The application selects an answer from the candidate answers based on the computed complementarity, thereby building a dialogue structure of an interactive session.

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