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US Patent 11977568 Building dialogue structure by using communicative discourse trees

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
119775681
Patent Inventor Names
Boris Galitsky1
Date of Patent
May 7, 2024
1
Patent Application Number
180539091
Date Filed
November 9, 2022
1
Patent Citations
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US Patent 9292490 Unsupervised learning of deep patterns for semantic parsing
1
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US Patent 10599885 Utilizing discourse structure of noisy user-generated content for chatbot learning
1
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US Patent 10679011 Enabling chatbots by detecting and supporting argumentation
1
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US Patent 10796099 Enabling autonomous agents to discriminate between questions and requests
1
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US Patent 10796102 Enabling rhetorical analysis via the use of communicative discourse trees
1
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US Patent 10817670 Enabling chatbots by validating argumentation
1
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US Patent 10839154 Enabling chatbots by detecting and supporting affective argumentation
1
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US Patent 10853581 Enabling rhetorical analysis via the use of communicative discourse trees
1
...
Patent Primary Examiner
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Hicham Skhoun
1
CPC Code
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G06K 9/6276
1
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G10L 15/08
1
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G06N 20/10
1
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G06N 5/003
1
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G06N 5/022
1
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G06N 3/006
1
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G06F 16/3329
1
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G06F 16/322
1
...
Patent abstract

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-communication 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-communication 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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