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    Systems and methods for named entity recognition
    2.
    发明授权
    Systems and methods for named entity recognition 有权

    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

    IPC: G06N3/08 ,  G06F16/35 ,  G06F40/00

    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.

    HIERARCHICAL NATURAL LANGUAGE UNDERSTANDING SYSTEMS
    4.
    发明申请
    HIERARCHICAL NATURAL LANGUAGE UNDERSTANDING SYSTEMS 有权

    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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