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公开(公告)号：US12057116B2
公开(公告)日：2024-08-06
申请号：US17162007
申请日：2021-01-29
Applicant: salesforce.com, inc.
Inventor： Juan Rodriguez , Michael Machado
CPC classification number: G10L15/22 , G06F9/453 , G10L15/26 , G10L15/32 , G10L2015/223
Abstract: The present disclosure is directed techniques for executing a task or service using a virtual agent. A method includes: executing, using a virtual agent, one or more tiers of a plurality of tiers of machine learning analysis to identify a desired action to be performed based on a user command, the user command being received from an external computing device; responsive to the one or more tiers of the plurality of tiers of machine learning analysis identifying a plurality of actions associated with the user command, determining a series of inquiries to present via the external computing device, wherein each inquiry of the series of inquiries is selected based on a number of actions associated with each inquiry, and wherein each subsequent inquiry in the series of inquires is based on a user response to a preceding inquiry; identifying, based on responses to the series of inquiries, the desired action to be performed; and executing the desired action to be performed.
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Patent Agency Ranking
公开(公告)号：US11544465B2
公开(公告)日：2023-01-03
申请号：US17211162
申请日：2021-03-24
Applicant: salesforce.com, inc.
Inventor： Michael Machado , John Ball , Thomas Archie Cook, Jr. , Shashank Harinath , Roojuta Lalani , Zineb Laraki , Qingqing Liu , Mike Rosenbaum , Karl Ryszard Skucha , Jean-Marc Soumet , Manju Vijayakumar
IPC: G06F40/295 , G06F16/332 , G06F40/30 , G10L15/18 , G10L15/22 , G10L15/30
Abstract: Approaches to using unstructured input to update heterogeneous data stores include receiving unstructured text input, receiving a template for interpreting the unstructured text input, identifying, using an entity classifier, entities in the unstructured text input, identifying one or more potential parent entities from the identified entities based on the template, receiving a selection of a parent entity from the one or more potential parent entities, identifying one or more potential child entities from the identified entities based on the template and the selected parent entity, receiving a selection of a child entity from the one or more potential child entities, identifying an action item in the unstructured text input based on the identified entities and the template, determining, using an intent classifier, an intent of the action item, and updating a data store based on the determined intent, the identified entities, and the selected child entity.
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公开(公告)号：US11436481B2
公开(公告)日：2022-09-06
申请号：US16134957
申请日：2018-09-18
Applicant: salesforce.com, inc.
Inventor： Govardana Sachithanandam Ramachandran , Michael Machado , Shashank Harinath , Linwei Zhu , Yufan Xue , Abhishek Sharma , Jean-Marc Soumet , Bryan McCann
Abstract: A method for natural language processing includes receiving, by one or more processors, an unstructured text input. An entity classifier is used to identify entities in the unstructured text input. The identifying the entities includes generating, using a plurality of sub-classifiers of a hierarchical neural network classifier of the entity classifier, a plurality of lower-level entity identifications associated with the unstructured text input. The identifying the entities further includes generating, using a combiner of the hierarchical neural network classifier, a plurality of higher-level entity identifications associated with the unstructured text input based on the plurality of lower-level entity identifications. Identified entities are provided based on the plurality of higher-level entity identifications.
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4.发明申请公开(公告)号：US20210141865A1
公开(公告)日：2021-05-13
申请号：US16680323
申请日：2019-11-11
Applicant: salesforce.com, inc.
Inventor： Michael Machado , James Douglas Harrison , Caiming Xiong , Xinyi Yang , Thomas Archie Cook , Roojuta Lalani , Jean-Marc Soumet , Karl Ryszard Skucha , Juan Manuel Rodriguez , Manju Vijayakumar , Vishal Motwani , Tian Xie , Bryan McCann , Nitish Shirish Keskar , Armen Abrahamyan , Zhihao Zou , Chitra Gulabrani , Minal Khodani , Adarsha Badarinath , Rohiniben Thakar , Srikanth Kollu , Kevin Schoen , Qiong Liu , Amit Hetawal , Kevin Zhang , Kevin Zhang , Victor Brouk , Johnson Liu , Rafael Amsili
Abstract: A multi-tenant system performs custom configuration of a tenant-specific chatbot to process and act upon natural language requests. The multi-tenant system configures the tenant-specific chatbots without requiring tenant-specific training. The multi-tenant system providing a user interface for configuring a tenant-specific set of permitted actions. The multi-tenant system determines a set of example phrases for each of the selected permitted actions. The multi-tenant system receives a natural language request from a user and identifies the action that the user wants to perform. The multi-tenant system uses a neural network to compare the natural language request with example phrases to identify an example phrase that matches the natural language request. The multi-tenant system performs the action corresponding to the matching example phrase.
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5.发明授权公开(公告)号：US11769013B2
公开(公告)日：2023-09-26
申请号：US16680323
申请日：2019-11-11
Applicant: salesforce.com, inc.
Inventor： Michael Machado , James Douglas Harrison , Caiming Xiong , Xinyi Yang , Thomas Archie Cook , Roojuta Lalani , Jean-Marc Soumet , Karl Ryszard Skucha , Juan Rodriguez , Manju Vijayakumar , Vishal Motwani , Tian Xie , Bryan McCann , Nitish Shirish Keskar , Zhihao Zou , Chitra Gulabrani , Minal Khodani , Adarsha Badarinath , Rohiniben Thakar , Srikanth Kollu , Kevin Schoen , Qiong Liu , Amit Hetawal , Kevin Zhang , Kevin Zhang , Johnson Liu , Rafael Amsili
CPC classification number: G06F40/30 , G06F40/295 , G06N3/04 , G06N3/08 , H04L51/02
Abstract: A multi-tenant system performs custom configuration of a tenant-specific chatbot to process and act upon natural language requests. The multi-tenant system configures the tenant-specific chatbots without requiring tenant-specific training. The multi-tenant system providing a user interface for configuring a tenant-specific set of permitted actions. The multi-tenant system determines a set of example phrases for each of the selected permitted actions. The multi-tenant system receives a natural language request from a user and identifies the action that the user wants to perform. The multi-tenant system uses a neural network to compare the natural language request with example phrases to identify an example phrase that matches the natural language request. The multi-tenant system performs the action corresponding to the matching example phrase.
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公开(公告)号：US10970486B2
公开(公告)日：2021-04-06
申请号：US16134956
申请日：2018-09-18
Applicant: salesforce.com, inc.
Inventor： Michael Machado , John Ball , Thomas Archie Cook, Jr. , Shashank Harinath , Roojuta Lalani , Zineb Laraki , Qingqing Liu , Mike Rosenbaum , Karl Ryszard Skucha , Jean-Marc Soumet , Manju Vijayakumar
IPC: G06F40/295 , G06F16/332 , G06F40/30 , G10L15/18 , G10L15/22 , G10L15/30
Abstract: Approaches to using unstructured input to update heterogeneous data stores include receiving unstructured text input, receiving a template for interpreting the unstructured text input, identifying, using an entity classifier, entities in the unstructured text input, identifying one or more potential parent entities from the identified entities based on the template, receiving a selection of a parent entity from the one or more potential parent entities, identifying one or more potential child entities from the identified entities based on the template and the selected parent entity, receiving a selection of a child entity from the one or more potential child entities, identifying an action item in the unstructured text input based on the identified entities and the template, determining, using an intent classifier, an intent of the action item, and updating a data store based on the determined intent, the identified entities, and the selected child entity.
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