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1.
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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公开(公告)号:US20220245349A1
公开(公告)日:2022-08-04
申请号:US17162318
申请日:2021-01-29
Applicant: salesforce.com, inc.
Inventor: Shiva Kumar Pentyala , Jean-Marc Soumet , Shashank Harinath , Shilpa Bhagavath , Johnson Liu , Ankit Chadha
IPC: G06F40/30 , G06N20/00 , G06F40/295
Abstract: Methods and systems for hierarchical natural language understanding are described. A representation of an utterance is inputted to a first machine learning model to obtain information on the first utterance. According to the information on the utterance a determination that the representation of the utterance is to be inputted to a second machine learning model that performs a dedicated natural language task is performed. In response to determining that the representation of the utterance is to be inputted to a second machine learning model, the utterance is inputted to the second machine learning model to obtain an output of the dedicated natural language task.
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3.
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:US20190286832A1
公开(公告)日:2019-09-19
申请号:US15924840
申请日:2018-03-19
Applicant: salesforce.com, inc.
Inventor: Kit Pang Szeto , Christopher James Wu , Ming-Yang Chen , Karl Ryszard Skucha , Eli Levine , Ka Chun Au , Bilong Chen , Johnson Liu
Abstract: Methods, systems, and devices for data access and processing are described. To set up secure environments for data processing (e.g., including machine learning), an access control system may first receive approval from an authorized user (e.g., an approver) granting access to data objects in a multi-tenant data store. The system may determine tenant-specific paths for retrieving the data objects from the data store, and may initialize a number of virtual computing engines for accessing the data. Each computing engine may be tenant-specific based on the path(s) used by that computing engine, and each may include an access role defining the data objects or data object types accessible by that computing engine. By accessing the requested data objects according to the tenant-specific path prefixes and access roles, the virtual computing engines may securely maintain separate environments for different tenants and may only allow user access to approved tenant data.
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公开(公告)号:US10853511B2
公开(公告)日:2020-12-01
申请号:US15924840
申请日:2018-03-19
Applicant: salesforce.com, inc.
Inventor: Kit Pang Szeto , Christopher James Wu , Ming-Yang Chen , Karl Ryszard Skucha , Eli Levine , Ka Chun Au , Bilong Chen , Johnson Liu
Abstract: Methods, systems, and devices for data access and processing are described. To set up secure environments for data processing (e.g., including machine learning), an access control system may first receive approval from an authorized user (e.g., an approver) granting access to data objects in a multi-tenant data store. The system may determine tenant-specific paths for retrieving the data objects from the data store, and may initialize a number of virtual computing engines for accessing the data. Each computing engine may be tenant-specific based on the path(s) used by that computing engine, and each may include an access role defining the data objects or data object types accessible by that computing engine. By accessing the requested data objects according to the tenant-specific path prefixes and access roles, the virtual computing engines may securely maintain separate environments for different tenants and may only allow user access to approved tenant data.
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