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    UTILIZING MACHINE LEARNING MODELS TO IDENTIFY INSIGHTS IN A DOCUMENT
    1.
    发明申请
    UTILIZING MACHINE LEARNING MODELS TO IDENTIFY INSIGHTS IN A DOCUMENT 审中-公开

    公开(公告)号：US20190251172A1

    公开(公告)日：2019-08-15

    申请号：US16385496

    申请日：2019-04-16

    Applicant: Capital One Services, LLC

    Inventor： Joni Bridget JEZEWSKI

    IPC: G06F17/27 ,  G06K9/62 ,  G06N3/04 ,  G06N20/00 ,  G06F16/30 ,  G06K9/00

    CPC classification number: G06F17/2785 ,  G06F16/30 ,  G06F17/2715 ,  G06F17/277 ,  G06K9/00442 ,  G06K9/6267 ,  G06K9/627 ,  G06N3/04 ,  G06N20/00

    Abstract: A device receives document information associated with a document, and receives a request to identify insights in the document information. The device performs, based on the request, natural language processing on the document information to identify words, phrases, and sentences in the document information, and utilizes a first machine learning model with the words, the phrases, and the sentences to identify information indicating abstract insights, concrete insights, and non-insights in the document. The device utilizes a second machine learning model to match the abstract insights with particular concrete insights that are different than the concrete insights, and utilizes a third machine learning model to determine particular insights based on the non-insights. The device generates an insight document that includes the concrete insights, the abstract insights matched with the particular concrete insights, and the particular insights determined based on the non-insights.

    PATIENT-CENTRIC CLINICAL KNOWLEDGE DISCOVERY SYSTEM
    5.
    发明申请
    PATIENT-CENTRIC CLINICAL KNOWLEDGE DISCOVERY SYSTEM 审中-公开

    公开(公告)号：US20190244119A1

    公开(公告)日：2019-08-08

    申请号：US16340480

    申请日：2017-09-25

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Oladimeji Feyisetan Farri ,  Sheikh Al Hasan ,  Junyi Liu ,  Kathy Mi Young Lee ,  Vivek Varma Datla

    IPC: G06N5/04 ,  G16H50/20 ,  G06N3/08

    CPC classification number: G06N5/04 ,  G06F16/35 ,  G06F17/2785 ,  G06N3/08 ,  G16H15/00 ,  G16H50/20 ,  G16H50/70

    Abstract: A medical information retrieval system comprises a natural language processing system that processes a vocal user query to identify key words and phrases. These key words and phrases are provided to an inferencing engine that provides a set of knowledge-based inferences from medical knowledge sources, based on these key words and phrases. Thereafter, these knowledge-based inferences are provided to an information retrieval engine that retrieves a corresponding plurality of medical articles based on these knowledge-based inferences, and ranks each with respect to the knowledge-based inferences. A summary engine receives the ranked articles and creates a model based on the topical keywords and candidate sentences found in the highly ranked articles. A paraphrase engine processes the candidate sentences to provide a summary response based on a knowledge-based paraphrase model. An audio output device renders the summary report as the response to the user's original vocal query.

    CREATING APPS FROM NATURAL LANGUAGE DESCRIPTIONS
    7.
    发明申请
    CREATING APPS FROM NATURAL LANGUAGE DESCRIPTIONS 审中-公开

    公开(公告)号：US20190236143A1

    公开(公告)日：2019-08-01

    申请号：US16262692

    申请日：2019-01-30

    Applicant: Solvebot, Inc.

    Inventor： Anthony Fader ,  Sarah Gould ,  Praveen Seshadri

    IPC: G06F17/27 ,  G06F8/71

    CPC classification number: G06F17/2785 ,  G06F8/71 ,  G06F17/2705

    Abstract: Systems and methods for generating and publishing an app. A method in one example can include obtaining a first natural language statement to generate a first set of one or more natural language statements; translating the first natural language statement into a first version of a meaning representation; and publishing a functional version of the app based at least in part on the first version of the meaning representation so that the app is usable by one or more user devices.

    GENERATING CONVERSATIONAL REPRESENTATIONS OF WEB CONTENT
    8.
    发明申请
    GENERATING CONVERSATIONAL REPRESENTATIONS OF WEB CONTENT 审中-公开

    公开(公告)号：US20190236137A1

    公开(公告)日：2019-08-01

    申请号：US15884477

    申请日：2018-01-31

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： John Benjamin HESKETH ,  Nikolai Michael FAALAND

    IPC: G06F17/27 ,  G06F17/30

    CPC classification number: G06F17/2785 ,  G06F16/9535 ,  G06F16/957 ,  G06N5/022 ,  G06N20/00

    Abstract: Contemporary human-computer interactions include conversational interactions, wherein devices present conversational prompts (e.g., generated speech) and conversational responses to user inquiries (e.g., verbal user input). Presented herein are techniques for automatically assembling conversational representations of web content. A variety of automated assembly techniques are disclosed, such as conversational template for websites of various website types. Interactions of users with a website may be monitored to identify actions that the users frequently perform, and conversational interactions may be generated that correspond to the actions. A web service may present a set of requests, and conversational interactions may be assembled to match the respective requests and responses of the web service. Conversational interactions may include transitions between websites, and conversational representations may be merged to integrate content from multiple websites. Action sets of actions and associated conversational representations may be compiled to provide a conversational interaction that aggregates the capabilities of many websites.

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