Annotating documents for processing by cognitive systems

    公开(公告)号:US11409950B2

    公开(公告)日:2022-08-09

    申请号:US16406312

    申请日:2019-05-08

    摘要: Mechanisms are provided to implement an annotation mechanism allows users to annotate documents with annotations for processing by a cognitive medical system. The annotation mechanism receives, via a user interface, a user selection of an electronic document for annotation, and determines one or more domains associated with the selected electronic document from an analysis of metadata associated with the selected electronic document. The annotation mechanism retrieves a predefined set of annotations associated with each determined domain, and presents the predefined set of annotations as user selectable elements. The annotation mechanism receives, via the user interface, a selection of one or more annotations in the predefined set of annotations to be associated with the selected portion of the selected electronic document, and generates annotation metadata associating the selected portion using the selected one or more annotations. The annotation mechanism then generates an annotated electronic document using the annotated metadata.

    Encoding-assisted annotation of narrative text

    公开(公告)号:US11372905B2

    公开(公告)日:2022-06-28

    申请号:US16266610

    申请日:2019-02-04

    摘要: From metadata corresponding to a narrative text, a first encoding is constructed, the first encoding comprising a standardized text string, the first encoding formed according to an encoding scheme. A specified portion of the standardized text string of the first encoding is marked as an anchor term. A correspondence between the first encoding and a second encoding is tested using the encoding scheme and a Natural Language Processing engine, responsive to finding the anchor term within the narrative text. The second encoding corresponds to a text window. The text window comprises a portion of the narrative text comprising an instance of the anchor term and a word within a predetermined distance from the instance. Responsive to the second encoding being identical to the first encoding, the narrative text is annotated, the annotating creating new data linking the narrative text with the second encoding.

    Searching for and determining relationships among entities

    公开(公告)号:US10810234B2

    公开(公告)日:2020-10-20

    申请号:US15961046

    申请日:2018-04-24

    摘要: Methods, systems, and computer program products are provided for processing a request regarding relationships among instances of entities. A graphical representation of instances of entities is generated and includes one or more source nodes, each representing an instance of an input entity of a request, and one or more related nodes, each representing an instance of a second entity related to one or more corresponding instances of the input entity and associated with a corresponding confidence score for the relationship. Each of the one or more related nodes associated with a confidence score satisfying a threshold is identified. One or more supplemental nodes are added to the graphical representation, each of which represents a corresponding instance of a third entity with a relationship to a corresponding instance of the second entity. The graphical representation is traversed to identify relationships between instances of entities and produce results for the request.

    ENCODING-ASSISTED ANNOTATION OF NARRATIVE TEXT

    公开(公告)号:US20200250209A1

    公开(公告)日:2020-08-06

    申请号:US16266610

    申请日:2019-02-04

    摘要: From metadata corresponding to a narrative text, a first encoding is constructed, the first encoding comprising a standardized text string, the first encoding formed according to an encoding scheme. A specified portion of the standardized text string of the first encoding is marked as an anchor term. A correspondence between the first encoding and a second encoding is tested using the encoding scheme and a Natural Language Processing engine, responsive to finding the anchor term within the narrative text. The second encoding corresponds to a text window. The text window comprises a portion of the narrative text comprising an instance of the anchor term and a word within a predetermined distance from the instance. Responsive to the second encoding being identical to the first encoding, the narrative text is annotated, the annotating creating new data linking the narrative text with the second encoding.

    Cognitive screen sharing with contextual awareness

    公开(公告)号:US10678566B2

    公开(公告)日:2020-06-09

    申请号:US15410980

    申请日:2017-01-20

    摘要: A method for cognitive screen sharing protection is provided. The method may include, in determining a screen sharing session of a client computing device associated with a user has been initiated, receiving, by a processor, a plurality of pertinent state data associated with the client computing device. The method may also include assigning an initial binary status to at least one display window of at least one open application on the client computing device. The method may further include, in determining a change has occurred to the screen sharing session, updating each assigned binary status. The method may also include detecting an undesirable sharing situation on the client computing device based on the updated binary status of the at least one display window. The method may further include performing a precautionary action based on the detected undesirable sharing situation.

    SEARCHING FOR AND DETERMINING RELATIONSHIPS AMONG ENTITIES

    公开(公告)号:US20190325063A1

    公开(公告)日:2019-10-24

    申请号:US15961046

    申请日:2018-04-24

    IPC分类号: G06F17/30

    摘要: Methods, systems, and computer program products are provided for processing a request regarding relationships among instances of entities. A graphical representation of instances of entities is generated and includes one or more source nodes, each representing an instance of an input entity of a request, and one or more related nodes, each representing an instance of a second entity related to one or more corresponding instances of the input entity and associated with a corresponding confidence score for the relationship. Each of the one or more related nodes associated with a confidence score satisfying a threshold is identified. One or more supplemental nodes are added to the graphical representation, each of which represents a corresponding instance of a third entity with a relationship to a corresponding instance of the second entity. The graphical representation is traversed to identify relationships between instances of entities and produce results for the request.