Assisted updating of electronic documents

    公开(公告)号:US11940953B2

    公开(公告)日:2024-03-26

    申请号:US16694793

    申请日:2019-11-25

    CPC classification number: G06F16/164 G06F40/221 G06F40/30 G06Q10/105

    Abstract: A method of updating the content of an electronic document includes receiving a metadata file by a server, the metadata file including document information regarding a subject matter of the electronic document and reference information regarding other sources of content referenced in the electronic document, and searching the other sources of content for corresponding information to the subject matter of the electronic document. The method also includes analyzing semantically the corresponding information, comparing the corresponding information to the electronic document to find inconsistencies, and generating an enriched metadata file including updated content suggested for the electronic document based on the inconsistencies.

    ASSISTED UPDATING OF ELECTRONIC DOCUMENTS

    公开(公告)号:US20210157770A1

    公开(公告)日:2021-05-27

    申请号:US16694793

    申请日:2019-11-25

    Abstract: A method of updating the content of an electronic document includes receiving a metadata file by a server, the metadata file including document information regarding a subject matter of the electronic document and reference information regarding other sources of content referenced in the electronic document, and searching the other sources of content for corresponding information to the subject matter of the electronic document. The method also includes analyzing semantically the corresponding information, comparing the corresponding information to the electronic document to find inconsistencies, and generating an enriched metadata file including updated content suggested for the electronic document based on the inconsistencies.

    DYNAMICALLY CONSTRUCTING AND CONFIGURING A CONVERSATIONAL AGENT LEARNING MODEL

    公开(公告)号:US20190238487A1

    公开(公告)日:2019-08-01

    申请号:US15886686

    申请日:2018-02-01

    CPC classification number: H04L51/02 G06F17/2785 G06N5/02 G06N20/00

    Abstract: An approach is described with respect to dynamically constructing and configuring a conversational agent learning model. Various aspects of the conversational agent learning model may be constructed and updated without continuous intervention of a domain administrator. A method pertaining to such approach may include retrieving a corpus of information. The corpus of information may include records from a set of repositories and external data, including data from social networks or applications. The method further may include configuring the conversational agent learning model based upon the retrieved corpus of information. The method further may include deploying the conversational agent learning model by facilitating interaction between the conversational agent learning model and a plurality of clients. The method further may include updating the conversational agent learning model to address any modification to the corpus of information.

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