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US Patent 11989525 Techniques for generating multi-modal discourse trees

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Is a
Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119895250
Patent Inventor Names
Boris Galitsky0
Date of Patent
May 21, 2024
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Patent Application Number
176956530
Date Filed
March 15, 2022
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Patent Citations
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US Patent 11783126 Enabling chatbots by detecting and supporting affective argumentation
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Patent Primary Examiner
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Abul K. Azad
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CPC Code
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G06F 3/0482
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G06N 20/00
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G06N 5/046
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G06F 40/295
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G06F 40/35
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Patent abstract

Methods for generating and utilizing a multi-modal discourse tree (MMDT) are provided herein. An extended discourse tree (EDT) may be generated (e.g., from a discourse tree (DT) or a communicative DT (CDT)) from a corpus of text. Data records (e.g., records contained numerical data) may be linked to the extended discourse tree to generate a multi-modal discourse tree. The multi-modal discourse tree may link any suitable text/records from disparate sources. For example, entities identified from elementary discourse units of the EDT may be matched to an entity of a data record. Causal links may be identified between EDTs and/or data records. Rhetorical relationships can be identified for each entity/causal link match to incorporate the data records with the EDT to generate a MMDT. The MMDT may be used to classify subsequent input, to generate answers to subsequent questions, to navigate the corpus of text and/or data records, or the like.

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