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    Matching of an input document to documents in a document collection
    31.
    发明授权
    Matching of an input document to documents in a document collection 有权

    公开(公告)号：US10740406B2

    公开(公告)日：2020-08-11

    申请号：US15100918

    申请日：2013-12-06

    Applicant: Hewlett-Packard Development Company, L.P.

    Inventor： Georgia Koutrika ,  Dimitra Papadimitriou ,  Steven J Simske

    IPC: G06F16/93 ,  G06F16/2457 ,  G06F40/20 ,  G06F40/205

    Abstract: Matching of an input document to documents in a document collection is described herein. In an example, a similarity correspondence between an input document and one or more documents in a base document collection is established. A set of base document segments and a set of message types associated to document segments in the set of base document segments is provided. The set of base document segments is derived from documents in the base document collection. The input document is segmented into input document segments corresponding to message types. Segment similarity between input document segments and base document segments corresponding to the same message types is computed. The similarity correspondence between the input document and at least one document in the base document collection is based on the computed segment similarity.

    Hybrid memory devices
    32.
    发明授权
    Hybrid memory devices 有权

    公开(公告)号：US10714179B2

    公开(公告)日：2020-07-14

    申请号：US16323072

    申请日：2016-10-07

    Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

    Inventor： Ning Ge ,  Steven J Simske ,  David George

    IPC: G11C13/00 ,  G11C14/00 ,  H01L27/108 ,  H01L27/24 ,  H01L45/00

    Abstract: In some examples, a hybrid memory device includes multiple memory cells, where a given memory cell of the multiple memory cells includes a volatile memory element having a plurality of layers including electrically conductive layers and a dielectric layer between the electrically conductive layers, and a non-volatile resistive memory element to store different data states represented by respective different resistances of the non-volatile resistive memory element, the non-volatile resistive memory element having a plurality of layers including electrically conductive layers and a resistive switching layer between the electrically conductive layers of the non-volatile resistive memory element.

    Author identification based on functional summarization
    34.
    发明授权
    Author identification based on functional summarization 有权

    公开(公告)号：US10515267B2

    公开(公告)日：2019-12-24

    申请号：US15519094

    申请日：2015-04-29

    Applicant: Hewlett-Packard Development Company, L.P.

    Inventor： Steven J Simske

    IPC: G06F16/00 ,  G06K9/00 ,  G06F16/335 ,  G06F16/34 ,  G06F16/9535 ,  G06F21/64 ,  G06F17/27 ,  G06Q30/02 ,  G06Q50/00

    Abstract: Author identification based on functional summarization is disclosed. One example is a system including a plurality of summarization engines, each summarization engine to receive, via a processing system, a text content to provide a summary of the text content. At least one meta-algorithmic pattern is applied to at least two summaries to provide a meta-summary of the text content using the at least two summaries. A content processor identifies, from the meta-summary, authorship features associated with the text content. An evaluator determines, for a given category, a category value of the meta-summary, the category value indicative of a similarity of the authorship features to the category. A selector selects, for the given category, a combination of meta-algorithmic patterns and summarization engines that provides the meta-summary that optimizes the category value for the text content.

    GENERATING A REGRESSIVE INFORMATION OBJECT
    35.
    发明申请
    GENERATING A REGRESSIVE INFORMATION OBJECT 审中-公开

    公开(公告)号：US20190385032A1

    公开(公告)日：2019-12-19

    申请号：US16010846

    申请日：2018-06-18

    Applicant: Hewlett-Packard Development Company, L.P.

    Inventor： Steven J Simske ,  A. Marie Vans

    IPC: G06K19/06

    Abstract: Example embodiments disclosed herein relate to generating a regressive information object. Information is encoded into an information object at states in a workflow. Information is encoded such that information encoded in a last state in the workflow is readable by an information object reader and information encoded in states prior to the last state is not readable by the information object reader.

    Text restructuring
    37.
    发明授权
    Text restructuring 有权

    公开(公告)号：US10387550B2

    公开(公告)日：2019-08-20

    申请号：US15519068

    申请日：2015-04-24

    Applicant: Hewlett-Packard Development Company, L.P.

    Inventor： Steven J Simske ,  A. Marie Vans ,  Marcelo Riss

    IPC: G06F16/33 ,  G06F16/34 ,  G06F16/35 ,  G06F17/22 ,  G06F17/27

    Abstract: In example implementations, a plurality of re-structured version of texts is generated for each one of a plurality of different documents by applying a plurality of text summarization methods to each one of the plurality of different documents. An effectiveness score is calculated for each one of the plurality of text summarization methods to determine the text summarization method with the highest effectiveness score for an application. The plurality of re-structured versions of text for each one of the plurality of different documents that is generated by the text summarization method that has the highest effectiveness score is stored to be used in the application.

    Data extraction based on multiple meta-algorithmic patterns
    38.
    发明授权
    Data extraction based on multiple meta-algorithmic patterns 有权

    公开(公告)号：US10366126B2

    公开(公告)日：2019-07-30

    申请号：US15313062

    申请日：2014-05-28

    Applicant: Hewlett-Packard Development Company, L.P.

    Inventor： Steven J Simske ,  A. Marie Vans ,  Malgorzata M Sturgill

    IPC: G06F17/30 ,  G06F16/93 ,  G06F16/903 ,  G06F16/14 ,  G06F16/2453 ,  G06F16/34

    Abstract: One example is a system including a plurality of combinations of summarization engines and/or meta-algorithmic patterns used to combine a plurality of summarizers, an extractor, an evaluator, and a selector. Each of the plurality of combinations of summarization engines and/or meta-algorithmic patterns receives content to provide a meta-summary of the content. The extractor generates a collection of search queries based on the content. The evaluator determines a similarity value of each combination of summarization engines and/or meta-algorithmic patterns for the collection of search queries. The selector selects an optimal combination of summarization engines and/or meta-algorithmic patterns based on the similarity value.

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