首页|Researchers Submit Patent Application, 'Methods And Systems For Ambiguity Resolution In Conversations Managed By A Virtual Assistant Server', for Approval (USPTO 20240037128)

Researchers Submit Patent Application, 'Methods And Systems For Ambiguity Resolution In Conversations Managed By A Virtual Assistant Server', for Approval (USPTO 20240037128)

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2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – From Washington, D.C., NewsRx journalists report that a patent application by the inventors AHANKARI, Girish (Hyderabad, IN); Arikala Gunalan, Prasanna Kumar (Hyderabad, IN); KONERU, RAJKUMAR (Windermere, FL, US); SRINIVASAN, Sri Vishnu Sankar (Chennai, IN), filed on July 29, 2022, was made available online on February 1, 2024. The patent’s assignee is Kore.ai Inc. (Orlando, Florida, United States). News editors obtained the following quote from the background information supplied by the inventors: “Organizations use knowledge graphs to represent data such as key domain terms and associate them with context-specific frequently asked questions (FAQs), synonyms, and machine learning-enabled classes for use in services like search engines, virtual assistants, or question-answering services. A knowledge graph is a knowledge base that uses a graph-structured data model to ingest data. The knowledge graph is used to store interlinked descriptions of entities such as, for example, objects, events, or abstract concepts. The knowledge graph is composed of a list of paths, where each path comprises one or more entities and an intent. In one example, when an input is provided by a user to a virtual assistant, one or more matching paths from the list of paths of the knowledge graph corresponding to the virtual assistant are identified by considering a percentage match (e.g., 1/5, 2/5, . . . ) based on the number of nodes/terms in a path that match with the input provided.

BusinessCyborgsEmerging TechnologiesKore.ai Inc.Machine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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年,卷(期):2024.(Feb.20)