Methods, systems, and storage media for automatically identifying relevant chemical compounds in patent documents

    公开(公告)号:US11537788B2

    公开(公告)日:2022-12-27

    申请号:US16978467

    申请日:2019-03-06

    申请人: Elsevier, Inc.

    摘要: Methods, systems, and non-transitory media for training a chemical entity recognition system to extract chemical compounds from a patent document and determine a relevance of the chemical compounds to the patent document are disclosed. A method includes obtaining patent documents from patent databases, normalizing each patent document into a unified format, and generating a chemical patent corpus. The chemical patent corpus includes chemical entities, each having relevancy annotations that indicate a relevance to the patent document from which the chemical entity is extracted. The method further includes providing the chemical patent corpus to the chemical entity recognition system, which tags the one or more chemical entities in a corresponding normalized patent document, extracts additional chemical entities, assigns a confidence score to each additional chemical entity, and labels each additional chemical entity as relevant or irrelevant to an associated patent document based on information contained in the chemical patent corpus.

    Uniform parsing of configuration files for multiple product types

    公开(公告)号:US11763077B1

    公开(公告)日:2023-09-19

    申请号:US15802550

    申请日:2017-11-03

    摘要: A platform is provided for uniform parsing of configuration files for multiple product types. One method comprises obtaining, by a parser of a given product type, a given request from a message queue based on a metadata message of an incoming configuration file from a remote product of a given product type, wherein the message queue stores metadata messages for a plurality of product types; extracting information from the incoming configuration file based on product-specific business logic obtained from a table store comprising tables for the plurality of product types, wherein the business logic provides a mapping between information extracted from the incoming configuration file and destination database tables; and storing the contents in the destination database tables of a product-specific predefined database schema.

    Self-transforming content objects

    公开(公告)号:US11507620B2

    公开(公告)日:2022-11-22

    申请号:US15417753

    申请日:2017-01-27

    摘要: Systems, methods, and other embodiments associated with self-transformation objects are described. In one embodiment, a method includes determining that a content object is to be rendered. The example method may also include evaluating attributes of a user to identify a content preference of the user. The example method may also include identifying a content transformation mapping that corresponds to the content preference. The example method may also include parsing the content object to identify a transformation script. The example method may also include executing the transformation script to parse the content object to identify elements that are tagged with a transformation tag. The example method may also include executing the transformation script to apply corresponding transformations from the content transformation mapping to the tagged elements. The example method may also include rendering the content object with the transformed elements.

    PROVIDING A BINARY DATA FILE TO A CLIENT APPLICATION USING A DOCUMENT MODEL

    公开(公告)号:US20220245588A1

    公开(公告)日:2022-08-04

    申请号:US17676055

    申请日:2022-02-18

    申请人: Google LLC

    摘要: A method for providing a binary data file to at least a first client application and a second client application includes receiving a first request to access the binary data file from the first client application, and identifying a first document model associated with the binary data file, wherein the first document model reflects edits made to the binary data file by the first client application and the second client application. The method further includes transmitting data corresponding to the first document model to the first client application, receiving, from the second client application, a second request indicating a modification to the binary data file, revising the first document model associated with the binary data file to include the modification to the binary data file, and transmitting data corresponding to the revised first document model to the second client application.