SYNTHETIC CRAFTING OF TRAINING AND TEST DATA FOR NAMED ENTITY RECOGNITION

    公开(公告)号:US20220245346A1

    公开(公告)日:2022-08-04

    申请号:US17248583

    申请日:2021-01-29

    Abstract: A method and system for extracting and labeling Named-Entity Recognition (NER) data in a target language for use in a multi-lingual software module has been developed. First, a textual sentence is translated to the target language using a translation module. A named entity is identified and extracted within the translated sentence. The named entity is identified by either: exact mapping; a semantically similar translated named entity that meets a predetermined minimum threshold of similarity; or utilizing a rule-based library for the target language. Once identified, the named entity is labeled with a pre-determined category and stored in a retrievable electronic database.

    MULTI-SUBSTRATE FAULT TOLERANT CONTINUOUS DELIVERY OF DATACENTER BUILDS ON CLOUD COMPUTING PLATFORMS

    公开(公告)号:US20220239736A1

    公开(公告)日:2022-07-28

    申请号:US17161387

    申请日:2021-01-28

    Abstract: Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system uses a control datacenter with a set of service groups used for configuring other datacenters, for example, for performing continuous delivery of software artifacts for other datacenters. The system uses a primary control datacenter and a secondary control datacenter. The primary control datacenter configures infrastructure of the tenant datacenter, for example, by configuring computing resources in the cloud platform for the tenant datacenter according to a declarative specification of the tenant datacenter. The secondary control datacenter efficiently takes control of the process of configuring the tenant datacenter, for example, if there is a failure of the primary control datacenter.

    USING CONTAINER AND MODEL INFORMATION TO SELECT CONTAINERS FOR EXECUTING MODELS

    公开(公告)号:US20220237506A1

    公开(公告)日:2022-07-28

    申请号:US17159805

    申请日:2021-01-27

    Abstract: Using container and model information to select containers for executing models is described. A system receives a request from an application and identifies a version of a machine-learning model associated with the request. The system identifies model information associated with machine learning models corresponding to a cluster of available serving containers associated with the version of the machine-learning model. The system uses the model information to select a serving container from the cluster of available serving containers. If the machine-learning model is not loaded in the serving container, the system loads the machine-learning model in the serving container. If the machine-learning model is loaded in the serving container, the system executes, in the serving container, the machine-learning model on behalf of the request. The system responds to the request based on executing the machine-learning model on behalf of the request.

    Schema Inference and Log Data Validation System

    公开(公告)号:US20220237101A1

    公开(公告)日:2022-07-28

    申请号:US17155670

    申请日:2021-01-22

    Abstract: Systems and methods are described for generating metrics from log data items, automatically interring one or more schemas based at least in part on analyzing samples of the log data items, validating samples of the log data items against the one or more schemas to detect log data item errors, and analyzing the log data item errors according to metrics analytics rules to determine an effect of the log data item errors on a quality measurement of the metrics.

    DYNAMIC PERSONALIZED API ASSEMBLY
    247.
    发明申请

    公开(公告)号:US20220237054A1

    公开(公告)日:2022-07-28

    申请号:US17158163

    申请日:2021-01-26

    Abstract: Methods, computer readable media, and devices for dynamic personalized API assembly are provided. One method may include receiving a data query from a client by a CDN, parsing the data query to generate a modified data query, transmitting the modified data query to an origin server, receiving a query response from the origin server, generating a modified query response based on the query response, and sending the modified query response to the client. Another method may include receiving an API call by an origin server, generating an API response by creating a payload file and adding markup directives indicating whether content is cacheable, and transmitting the API response.

    VERSIONING OF PIPELINE TEMPLATES FOR CONTINUOUS DELIVERY OF SERVICES ON DATACENTERS CONFIGURED IN CLOUD PLATFORMS

    公开(公告)号:US20220236976A1

    公开(公告)日:2022-07-28

    申请号:US17157583

    申请日:2021-01-25

    Abstract: Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives pipeline templates including templating expressions that can be substituted with values for generating pipelines. A pipeline can be executed to perform a set of actions associated with continuous delivery of a software artifact. The system stores sets of partially hydrated pipeline templates. The partially hydrated pipeline templates can be compiled into executable pipelines associated with services configured on a datacenter of a cloud platform. The system stores different versions of pipeline templates as deployment packages. The system stores version pointers that identify specific deployment packages that are selected when a software release is deployed. The version pointers allow the deployment package to be updated in case of roll back or for deploying more recent changes.

Patent Agency Ranking