公开(公告)号：US20190243825A1

公开(公告)日：2019-08-08

申请号：US16390331

申请日：2019-04-22

Applicant: International Business Machines Corporation

Inventor： Eric L. Erpenbach ,  Andrew J. Lavery ,  Richard J. Stevens ,  Fernando J. Suarez Saiz

IPC: G06F16/242

CPC classification number: G06F16/243 ,  G06F17/21

Abstract: Natural language processing includes processing unstructured data in response to a request for a conclusion to a line of inquiry to produce structured information that conforms to a computer readable information schema. Values obtained from the unstructured data are assigned to attributes of the structured information and determining a candidate conclusion to the line of inquiry based on the value-assigned attributes. A confidence score is computed that is indicative of a sufficiency of the candidate conclusion as the conclusion to the line of inquiry. One or more of the attributes are displayed to a user for modification responsive to the confidence score of the corresponding conclusion failing to meet a confidence criterion. The displayed attributes are ranked by relevance of the attribute to the corresponding conclusion. The conclusion to the line of inquiry is determined based on the modified values of the user-selected attributes.

公开(公告)号：US20190213480A1

公开(公告)日：2019-07-11

申请号：US16245468

申请日：2019-01-11

Applicant: Electronics and Telecommunications Research Institute

Inventor： Joon Ho LIM ,  Mi Ran CHOI ,  Hyun Ki KIM ,  Min Ho KIM ,  Ji Hee RYU ,  Kyung Man BAE ,  Yong Jin BAE ,  Ji Hyun WANG ,  Hyung Jik LEE ,  Soo Jong LIM ,  Myung Gil JANG ,  Jeong HEO

IPC: G06N3/08 ,  G06F16/332 ,  G06N5/04 ,  G06F17/21

CPC classification number: G06N3/08 ,  G06F16/3329 ,  G06F17/21 ,  G06N5/04

Abstract: Provided is a method of providing a shared neural model by a question-answering system, the method including: learning a shared neural model on the basis of initial model learning data; providing a plurality of user terminals with the shared neural model upon completing the learning of the shared neural model; upon the user terminal updating the shared neural model to a personalized neural model, collecting the updated personalized neural model; updating the shared neural model on the basis of the collected personalized neural model; and providing the updated shared neural model to the plurality of user terminals.

公开(公告)号：US20190188645A1

公开(公告)日：2019-06-20

申请号：US15841970

申请日：2017-12-14

Applicant: International Business Machines Corporation

Inventor： Miguel J. Monasor ,  Moisés Domínguez García

IPC: G06Q10/10 ,  G06Q10/06 ,  G06F17/21 ,  G06F17/30

CPC classification number: G06Q10/1053 ,  G06F16/00 ,  G06F17/21 ,  G06Q10/063112

Abstract: According to embodiments of the present invention, a system is provided that will evaluate a candidate's experience (e.g., curriculum vitae (CV), resume, application, etc.) in view of job description requirements, and based on this combined information, will automatically generate a customized interview including questions tailored to each candidate related to his or her experience as described on the application and in view of the job description requirements.

公开(公告)号：US20180267952A1

公开(公告)日：2018-09-20

申请号：US15458838

申请日：2017-03-14

Applicant: Microsoft Technology Licensing, LLC

Inventor： Joseph Osborne ,  Abigail Bunyan

IPC: G06F17/27 ,  G06F17/21

CPC classification number: G06F17/276 ,  G06F17/21 ,  G06F17/273 ,  G06F17/2785

Abstract: A data input system is described which has a user interface which receives one or more context text items in a sequence of text items input by a user. A processor of the data input system uses a plurality of language models to predict, from each language model, a next item in the sequence of text items. The processor uses a dynamic model which is bespoke to the user as a result of learning text items which the user has previously used, to predict a next item in the sequence of text items. The processor weights the predicted next item from the dynamic model using at least per term weights, each per term weight representing a likelihood of an associated term of the dynamic model given one of the language models.

公开(公告)号：US10074200B1

公开(公告)日：2018-09-11

申请号：US14693608

申请日：2015-04-22

Applicant: Amazon Technologies, Inc.

Inventor： Kalidas Yeturu

IPC: G06F17/00 ,  G06F3/048 ,  G06F17/27 ,  G06T11/20 ,  G06K9/18 ,  G06F17/21

CPC classification number: G06F17/21 ,  G06F17/211 ,  G06F17/241 ,  G06F17/2765 ,  G06K9/726 ,  G06K2209/27 ,  G06T11/00

Abstract: Imagery may be generated for a written work based on textual descriptions in the written work using an automated or partially automated process. The imagery may be used to create a trailer for the written work, for insertion into a digital version of the written work, to visually represent the written work, and/or for other reasons. Descriptive text from the written work may be identified and associated with a catalog of imagery, which include image objects that are discrete images of subjects. The image objects may be compiled with other image objects to create an initial image. The initial image may be edited by a user or other person to add more detail, modify subjects, add an additional subject, remove subjects, change attributes, and/or make other changes to the initial image.

公开(公告)号：US10073842B2

公开(公告)日：2018-09-11

申请号：US15182873

申请日：2016-06-15

Applicant: International Business Machines Corporation

Inventor： Faried Abrahams ,  Amol A. Dhondse ,  Raman Harishankar ,  Anand Pikle ,  Gandhi Sivakumar

IPC: G06F17/21 ,  G10L13/02 ,  G06F17/28 ,  G10L15/22 ,  G06F17/27 ,  G06F17/30

CPC classification number: G06F17/289 ,  G06F16/243 ,  G06F16/9535 ,  G06F17/21 ,  G06F17/274 ,  G06F17/2785 ,  G10L13/02 ,  G10L15/22

Abstract: A mapping is constructed between a node of a cultural hierarchy and a node of an organizational hierarchy. The cultural hierarchy is a data structure representing an arrangement of characteristics of different social levels relative to one another in a culture. The organizational hierarchy is a data structure representing an arrangement of characteristics of different roles of people relative to one another in a group. A set of cultural attributes is constructed to represent a persona of a human user according to mapping. Using a cultural attribute, an adjustment rule is selected from a library. A machine output is modified according to the adjustment rule. The machine output is in response to a dialog between a data processing system and human user in a machine-human interaction. The adjusted output is transformed and presented as a response to the human user in the machine-human interaction.

公开(公告)号：US10002123B2

公开(公告)日：2018-06-19

申请号：US15364639

申请日：2016-11-30

Applicant: SPOTIFY AB

Inventor： Brian Whitman ,  Hui Cao

IPC: G06F17/00 ,  G06F17/27 ,  G06F17/21 ,  G06F17/30 ,  G10L15/26

CPC classification number: G06F17/2705 ,  G06F16/319 ,  G06F16/335 ,  G06F16/93 ,  G06F16/9535 ,  G06F17/21 ,  G06F17/273 ,  G06F17/277 ,  G06F17/278 ,  G10L15/26

Abstract: A data processing method, program, and apparatus for identifying a document within a block of text. A block of text is tokenized into a plurality of text tokens according to at least one rule parser. Each of the plurality of text tokens is sequentially compared to a plurality of document tokens to determine if the text token matches one of the plurality of document tokens. The plurality of document tokens correspond to a plurality of documents which have been tokenized according to the one or more rule parsers. Each matched text token is filtered according to predetermined filtering criteria to generate one or more candidate text tokens. It is then determined whether sequence of candidate text tokens that occur in sequential order within the block of text match sequence of document tokens. If so, then it is determined that the document has been identified within the block of text. The document can correspond to an artist, a song names, and misspellings and aliases thereof.

公开(公告)号：US09996504B2

公开(公告)日：2018-06-12

申请号：US14317477

申请日：2014-06-27

Applicant: Amazon Technologies, Inc.

Inventor： Hugo Zaragoza

IPC: G06F17/20 ,  G06F17/21 ,  G06F17/27

CPC classification number: G06F17/21 ,  G06F17/2785

Abstract: A passage sentiment classifier that can be used to assign a score that indicates the polarity and magnitude of sentiment expressed by a piece of text using information about similar passages. A passage of text may be a few words, a sentence, a paragraph or an entire document. The invention described classifies automatically passages by first looking up the most similarly classified passage in a storage system, which contains passages that have been classified manually by a human.

公开(公告)号：US09984070B2

公开(公告)日：2018-05-29

申请号：US14469747

申请日：2014-08-27

Applicant: International Business Machines Corporation

Inventor： Amit P. Bohra ,  Krishna Kummamuru ,  Alexander Pikovsky ,  Swapnasarit Sahu

IPC: G06F17/27 ,  G06F17/28 ,  G06F17/24 ,  G06F17/21

CPC classification number: G06F17/28 ,  G06F17/21 ,  G06F17/211 ,  G06F17/245 ,  G06F17/27 ,  G06F17/2785 ,  G06F17/2881

Abstract: A computer implemented method of generating a language section from tabular data in an electronic document may include identifying, in a first tabular portion of the electronic document, a set of categories used to organize tabular data. The method may include identifying a content characteristic for each category of the set of categories in the first tabular portion. And the method may include generating a first language section from at least two distinct categories of the set of categories, wherein a format of the first language section is based on the content characteristics for the at least two distinct categories.

公开(公告)号：US20180146002A1

公开(公告)日：2018-05-24

申请号：US15566691

申请日：2016-07-18

Applicant: Raymond Canfield

Inventor： Raymond Canfield

IPC: H04L29/06

CPC classification number: H04L63/1433 ,  G06F17/21 ,  G06N5/02 ,  H04L41/22 ,  H04L63/145 ,  H04L63/1491 ,  H04L63/20

Abstract: A cyber security method using intelligent agents (IAs) includes: watching, by the intelligent agent (IA), over a network, a software program running on a system; receiving, by the IA, results generated by the software; presenting, by the IA, the results; categorizing the results, by the IA, for efficient storage and efficient future retrieval; saving, by the IA, the categorized results; using the categorized results, by the IA, inferring new knowledge; categorizing the new knowledge, by the IA, for efficient storage and efficient future retrieval; saving, by the IA, the categorized new knowledge; and using one or more of the saved categorized results and the saved categorized new knowledge, by the IA, configuring the software.