Systems and Methods for Reading Comprehension for a Question Answering Task

    公开(公告)号:US20230419050A1

    公开(公告)日:2023-12-28

    申请号:US18463019

    申请日:2023-09-07

    CPC classification number: G06F40/40 G06F40/30

    Abstract: Embodiments described herein provide a pipelined natural language question answering system that improves a BERT-based system. Specifically, the natural language question answering system uses a pipeline of neural networks each trained to perform a particular task. The context selection network identifies premium context from context for the question. The question type network identifies the natural language question as a yes, no, or span question and a yes or no answer to the natural language question when the question is a yes or no question. The span extraction model determines an answer span to the natural language question when the question is a span question.

    Interactively building previews of extract, transform, load (ETL) graphs using cached previews of subgraphs

    公开(公告)号:US11841872B2

    公开(公告)日:2023-12-12

    申请号:US17385393

    申请日:2021-07-26

    CPC classification number: G06F16/254 G06F3/0486 G06F16/24552 G06F16/26

    Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for executing a process flow represented by a graph or portion thereof using cached subgraphs. A first request to execute a first portion of a process flow is processed, where the first portion of the process flow is represented by a first subgraph of a graph representing the process flow and a final node of the first subgraph corresponds to a set of computer-readable instructions. The first portion of the process flow is executed such that a first output of executing the first portion of the process flow is obtained. The first subgraph is stored in association with the first output in a first cache entry of a cache. A second request to execute a second portion of the process flow is processed, where the second portion of the process flow is represented by a second subgraph of the graph. At least one cache entry for which a corresponding subgraph matches at least a portion of the second subgraph is identified in the cache, where the at least one cache entry includes the first cache entry. The first output is retrieved from the first cache entry, a node of the second subgraph to which the final node of the first subgraph is connected is identified, and the second portion of the process flow is executed by providing the first output as input to the identified node of the second subgraph without executing the set of computer-readable instructions.

    Dialogue state tracking using a global-local encoder

    公开(公告)号:US11836451B2

    公开(公告)日:2023-12-05

    申请号:US17179933

    申请日:2021-02-19

    Abstract: A method for maintaining a dialogue state associated with a dialogue between a user and a digital system includes receiving, by a dialogue state tracker associated with the digital system, a representation of a user communication, updating, by the dialogue state tracker, the dialogue state and providing a system response based on the updated dialogue state. The dialogue state is updated by evaluating, based on the representation of the user communication, a plurality of member scores corresponding to a plurality of ontology members of an ontology set, and selecting, based on the plurality of member scores, zero or more of the plurality of ontology members to add to or remove from the dialogue state. The dialogue state tracker includes a global-local encoder that includes a global branch and a local branch, the global branch having global trained parameters that are shared among the plurality of ontology members and the local branch having local trained parameters that are determined separately for each of the plurality of ontology members.

    Autocomplete of user entered text
    37.
    发明授权

    公开(公告)号:US11816431B2

    公开(公告)日:2023-11-14

    申请号:US16846338

    申请日:2020-04-12

    Inventor: Yang Zhang

    CPC classification number: G06F40/274 G06F40/30 G06N3/088

    Abstract: Computer implemented method and a system for auto completion of text based on the context associated with the text. The computer implemented method includes steps of receiving input text, identifying a certain context associated with the input text from multiple predefined contexts, by feeding the input text into a context-prediction component of a machine learning model that predicts the certain context, selecting a certain context-specific component of the machine learning model from multiple context-specific components according to the identified certain context, feeding the input text into the selected context-specific component that outputs autocomplete text associated with the identified certain context. The context-specific components are each trained to generate autocompleted text associated with a respective context pre-defined for the respective context-specific component.

    Schema change operations
    38.
    发明授权

    公开(公告)号:US11809386B2

    公开(公告)日:2023-11-07

    申请号:US17460495

    申请日:2021-08-30

    CPC classification number: G06F16/211 G06F16/2379

    Abstract: Techniques are disclosed in which a computer system implements schema changes for existing database objects by maintaining a logical name and a current physical name corresponding to an existing database object, where the logical name points to the current physical name. The system receives a schema change request specifying the logical name and format changes for the existing object. The system performs a schema change operation in response to the request, including: creating a new database object having a new physical name, copying and transforming data from the existing object to the new object according to the format changes, mirroring new writes directed to the logical name to both the existing and new objects, and causing the logical name to point to the new physical name instead of the current physical name after completing the copying. The system responds to subsequent queries, specifying the logical name, from the new object.

    Systems, methods, and apparatuses for implementing an SQL query and filter mechanism for blockchain stored data using distributed ledger technology (DLT)

    公开(公告)号:US11803537B2

    公开(公告)日:2023-10-31

    申请号:US16777141

    申请日:2020-01-30

    CPC classification number: G06F16/2379 G06F16/214 G06F16/258 G06F16/27

    Abstract: Systems, methods, and apparatuses for implementing an SQL query and filter mechanism for blockchain stored data using Distributed Ledger Technology (DLT) in conjunction with a cloud based computing environment include operating a blockchain interface to the blockchain on behalf of a plurality of tenants of the host organization, in which each one of the plurality of tenants operate as a participating node with access to the blockchain. The system receives input for adding a plurality of authorized network participants to a declared application, updates a blockchain asset on the blockchain containing metadata for the declared application, deploys an executable install package to each of the plurality of authorized network participants for the declared application, retrieves the metadata for the declared application from the blockchain, and displays GUIs specific to the declared application which are auto generated by the executable install package based on the retrieved metadata.

    Display screen or portion thereof with graphical user interface

    公开(公告)号:USD1002666S1

    公开(公告)日:2023-10-24

    申请号:US29829229

    申请日:2022-03-03

    Designer: Jose Lejin P J

    Abstract: The FIGURE is a front view of a display screen or portion thereof with graphical user interface showing the claimed design.
    The outer broken lines in the FIGURE show a display screen or portion thereof, and form no part of the claimed design. The other broken lines in the FIGURE show portions of the graphical user interface that form no part of the claimed design.

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