METHODS AND APPARATUS FOR RETRIEVING RELEVANT INFORMATION FROM AN UNSTRUCTURED KNOWLEDGE BASE

    公开(公告)号:US20220245467A1

    公开(公告)日:2022-08-04

    申请号:US17162970

    申请日:2021-01-29

    摘要: The disclosed subject matter relates to a system and method for retrieving relevant information in response to a user query without devising intent of the query. The relevant information is contained within a semi-structured database which was populated from Q&A pairs, help web sites, product descriptions and other information from an organizations knowledge base and from which an inverted index is created. The semi-structured data base may be created automatically or entered manually. Upon receiving a user query, data segments are identified (and ranked) via the inverse index and the data segment most similar to the query is provided to a MRC model which reads the segments to determine the portion (span/snippet) of the data segment that addresses the query. This portion is provided to the user in response to the query.

    METHODS AND APPARATUS FOR INTENT RECOGNITION

    公开(公告)号:US20220277741A1

    公开(公告)日:2022-09-01

    申请号:US17187393

    申请日:2021-02-26

    IPC分类号: G10L15/22 G10L25/30 G10L15/06

    摘要: A system for generating a response to a customer query includes a computing device configured to obtain a first dataset, including a plurality of first phrase-intent pairs associated with a first domain. Each first phrase-intent pair includes a first phrase and a corresponding first intent. The computing device is configured to retrieve a set of configuration rules to configure a plurality of environments. The computing device is also configured to configure a first environment using the first dataset and the set of configuration rules to determine a result user intent based on a requested query associated with the first domain. The first environment embeds the plurality of first phrase-intent pairs in a vector space based on the set of configuration rules. The computing device is configured to perform operations based on the first environment.

    AUTOMATICALLY RECTIFYING IN REAL-TIME ANOMALIES IN NATURAL LANGUAGE PROCESSING SYSTEMS

    公开(公告)号:US20210241758A1

    公开(公告)日:2021-08-05

    申请号:US16779280

    申请日:2020-01-31

    摘要: A method for automatically rectifying in real-time anomalies in natural language processing systems. The method can include receiving command data from a user device of a user. The command data can correspond to a user request. The method further can include retrieving, from a new template database, a new request template corresponding to the user request. Additionally, the method can include retrieving, from the new template database, an output instruction corresponding to the new request template, when the new request template is found. The method further can include determining, by a machine learning system, the output instruction corresponding to the user request, when the new request template is not found. The method also can include transmitting the output instruction to a request processing system. The request processing system can be configured to perform the output instruction and transmit, to the user device, a response to the user request. Other embodiments are disclosed.