公开(公告)号：US09760829B2

公开(公告)日：2017-09-12

申请号：US14317583

申请日：2014-06-27

Applicant: International Business Machines Corporation

Inventor： Corville O. Allen ,  Adam T. Clark ,  Jeffrey K. Huebert ,  Aspen L. Payton ,  John E. Petri

IPC: G06N3/08 ,  G06N5/04 ,  G06F17/30 ,  G06F19/00

CPC classification number: G06N5/04 ,  G06F17/30654 ,  G06F17/30864 ,  G06F19/00 ,  G06N3/08 ,  G16H10/20

Abstract: System, method, and computer program product for performing an operation, the operation comprising analyzing a question submitted to a deep question answering system to determine a level of sophistication of the question, and modifying one or more subsequent communications issued by the deep question answering system based on the determined level of sophistication, wherein the modifying attempts to more closely match the determined level of sophistication of the question with a level of sophistication of the one or more subsequent communications.

公开(公告)号：US09697466B2

公开(公告)日：2017-07-04

申请号：US14576486

申请日：2014-12-19

Applicant: International Business Machines Corporation

Inventor： Adam T. Clark ,  Jeffrey K. Huebert ,  Aspen L. Payton ,  John E. Petri

IPC: G06N5/02 ,  G06N99/00

CPC classification number: G06N5/022 ,  G06N99/005

Abstract: Techniques are disclosed to determine an expected or predicted opinion of a target individual. To do so, a deep question answer system may build a corpus which includes a first collection of documents attributable to a first person and a second collection of documents identified from content in the first collection of documents and evaluate the corpus to build a model representing opinions of the first person relative to topics, concepts, or subjects discussed in the first and second collections of documents. The deep question answer system may also receive a request to predict an opinion of the first person regarding a topic and generate a predicted opinion of the first person regarding the topic from the model.

公开(公告)号：US09442918B2

公开(公告)日：2016-09-13

申请号：US14666549

申请日：2015-03-24

Applicant: International Business Machines Corporation

Inventor： Adam T. Clark ,  Jeffrey K. Huebert ,  Aspen L. Payton ,  John E. Petri

IPC: G06F17/27 ,  G06F17/28 ,  G06F17/30 ,  G06Q30/02

CPC classification number: G06F17/2785 ,  G06F17/2705 ,  G06F17/271 ,  G06F17/28 ,  G06F17/30345 ,  G06F17/30654 ,  G06F17/30684 ,  G06F17/30705 ,  G06Q30/0282

Abstract: A computer-implemented method of managing perspective data associated with a common feature in items is disclosed. The method can include identifying a common feature in a first item and a second item, the first item having a set of perspective data and establishing a subset of perspective data associated with the common feature. The method can include associating the subset of perspective with the second item. The method can include determining a set of relevancy scores for the subset of perspective data associated with the common feature and establishing a set of relevant perspective data from the subset of perspective data. The set of relevant perspective data can have relevancy scores outside of a relevancy threshold. The method can include associating the set of relevant perspective data with the second item.

Abstract translation: 公开了一种管理与项目中的共同特征相关联的透视数据的计算机实现的方法。 该方法可以包括识别第一项目和第二项目中的共同特征，第一项目具有一组透视数据并建立与该共同特征相关联的透视数据的子集。 该方法可以包括将透视子集与第二项相关联。 该方法可以包括确定与公共特征相关联的透视数据的子集的相关性分数集合，并且从透视数据的子集建立一组相关的透视数据。 该组相关透视数据可以具有相关性阈值以外的相关性分数。 该方法可以包括将该组相关透视数据与第二项相关联。

公开(公告)号：US20140280253A1

公开(公告)日：2014-09-18

申请号：US13804876

申请日：2013-03-14

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Adam T. Clark ,  Joel C. Dubbels ,  Jeffrey K. Huebert ,  John E. Petri

IPC: G06F17/30

CPC classification number: G06F17/30684 ,  G06F17/30312 ,  G06F17/3048 ,  G06F17/30902

Abstract: In some NLP systems, queries are compared to different data sources stored in a corpus to provide an answer to the query. However, the best data sources for answering the query may not currently be contained within the corpus or the data sources in the corpus may contain stale data that provides an inaccurate answer. When receiving a query, the NLP system may evaluate the query to identify a data source that is likely to contain an answer to the query. If the data source is not currently contained within the corpus, the NLP system may ingest the data source. If the data source is already within the corpus, however, the NLP may determine a time-sensitivity value associated with at least some portion of the query. This value may then be used to determine whether the data source should be re-ingested—e.g., the information contained in the corpus is stale.

公开(公告)号：US20140278352A1

公开(公告)日：2014-09-18

申请号：US13796616

申请日：2013-03-12

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Adam T. Clark ,  Joel C. Dubbels ,  Jeffrey K. Huebert ,  John E. Petri

IPC: G06F17/28

CPC classification number: G06F16/3344 ,  G06F17/2785

Abstract: In some NLP systems, queries are compared to different data sources stored in a corpus to provide an answer to the query. However, the best data sources for answering the query may not currently be contained within the corpus or the data sources in the corpus may contain stale data that provides an inaccurate answer. When receiving a query, the NLP system may evaluate the query to identify a data source that is likely to contain an answer to the query. If the data source is not currently contained within the corpus, the NLP system may ingest the data source. If the data source is already within the corpus, however, the NLP may determine a time-sensitivity value associated with at least some portion of the query. This value may then be used to determine whether the data source should be re-ingested—e.g., the information contained in the corpus is stale.

Abstract translation: 在一些NLP系统中，将查询与存储在语料库中的不同数据源进行比较，以便为查询提供答案。 然而，用于回答查询的最佳数据源当前可能不包含在语料库中，或者语料库中的数据源可能包含提供不准确答案的过时数据。 当收到查询时，NLP系统可以评估查询以识别可能包含查询答案的数据源。 如果数据源当前不包含在语料库中，则NLP系统可能会摄取数据源。 然而，如果数据源已经在语料库内，则NLP可以确定与查询的至少一部分相关联的时间敏感度值。 然后可以使用该值来确定数据源是否应被重新摄取 - 例如，语料库中包含的信息是陈旧的。

公开(公告)号：US20140278351A1

公开(公告)日：2014-09-18

申请号：US13796562

申请日：2013-03-12

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Adam T. Clark ,  Joel C. Dubbels ,  Jeffrey K. Huebert ,  John E. Petri

IPC: G06F17/28

CPC classification number: G06F17/30684 ,  G06F17/30312 ,  G06F17/3048 ,  G06F17/30902

Abstract: In some NLP systems, queries are compared to different data sources stored in a corpus to provide an answer to the query. However, the best data sources for answering the query may not currently be contained within the corpus or the data sources in the corpus may contain stale data that provides an inaccurate answer. When receiving a query, the NLP system may evaluate the query to identify a data source that is likely to contain an answer to the query. If the data source is not currently contained within the corpus, the NLP system may ingest the data source. If the data source is already within the corpus, however, the NLP may determine a time-sensitivity value associated with at least some portion of the query. This value may then be used to determine whether the data source should be re-ingested—e.g., the information contained in the corpus is stale.

Abstract translation: 在一些NLP系统中，将查询与存储在语料库中的不同数据源进行比较，以便为查询提供答案。 但是，用于回答查询的最佳数据源当前可能不包含在语料库中，或者语料库中的数据源可能包含提供不准确答案的过时数据。 当收到查询时，NLP系统可以评估查询以识别可能包含查询答案的数据源。 如果数据源当前不包含在语料库中，则NLP系统可能会摄取数据源。 然而，如果数据源已经在语料库内，则NLP可以确定与查询的至少一部分相关联的时间敏感度值。 然后可以使用该值来确定数据源是否应被重新摄取 - 例如，语料库中包含的信息是陈旧的。

公开(公告)号：US11048745B2

公开(公告)日：2021-06-29

申请号：US16015548

申请日：2018-06-22

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Adam T. Clark ,  Jeffrey K. Huebert ,  Aspen Payton ,  John Petri

IPC: G06F16/51 ,  G06F16/54 ,  G06F16/28

Abstract: A method, computer system, and computer program product for determining qualities of user favorable photographs are provided. The embodiment may include receiving a plurality of photographs from an electronic device. The embodiment may also include parsing each photograph. The embodiment may further include calculating a favorability value of each photograph. The embodiment may also include determining whether the favorability value of each photograph exceeds a favorability threshold value. The embodiment may further include organizing the received photographs into one or more clusters based on features of each photograph. The embodiment may also include generating a classification model for each cluster.

公开(公告)号：US10748164B2

公开(公告)日：2020-08-18

申请号：US16238619

申请日：2019-01-03

Applicant: International Business Machines Corporation

Inventor： Adam T. Clark ,  Jeffrey K. Huebert ,  Aspen L. Payton ,  John E. Petri

IPC: G06Q30/02 ,  G06F16/2457 ,  G06F40/30

Abstract: A processor uses natural language processing to ingest product reviews for a plurality of products. Each of the products embodies a specific form for each of the plurality of product features. The processor analyzes the ingested product reviews for sentiments associated with the specific forms. The processor generates a sentiment score for each product feature based on the analysis. The processor ranks the plurality of product features based on the sentiment scores.

公开(公告)号：US20190392039A1

公开(公告)日：2019-12-26

申请号：US16015548

申请日：2018-06-22

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Adam T. Clark ,  Jeffrey K. Huebert ,  Aspen Payton ,  John Petri

IPC: G06F17/30

Abstract: A method, computer system, and computer program product for determining qualities of user favorable photographs are provided. The embodiment may include receiving a plurality of photographs from an electronic device. The embodiment may also include parsing each photograph. The embodiment may further include calculating a favorability value of each photograph. The embodiment may also include determining whether the favorability value of each photograph exceeds a favorability threshold value. The embodiment may further include organizing the received photographs into one or more clusters based on features of each photograph. The embodiment may also include generating a classification model for each cluster.

公开(公告)号：US20190272768A1

公开(公告)日：2019-09-05

申请号：US16414725

申请日：2019-05-16

Applicant: International Business Machines Corporation

Inventor： Adam T. Clark ,  Jeffrey K. Huebert ,  Aspen L. Payton ,  John E. Petri

IPC: G09B7/02 ,  G06F16/332 ,  G06F17/27 ,  G09B7/00

Abstract: A system, a method, and a computer program product for managing answer feasibility in a Question and Answering (QA) system. A set of candidate situations is established. The set of candidate situations corresponds to a first set of answers. A QA system establishes the set of candidate situations by analyzing a corpus. The first set of answers will answer a question. The QA system identifies a subset of the set of candidate situations. The subset of candidate situations corresponds to a portion of contextual data. The portion of contextual data is from a set of contextual data. The set of contextual data relates to the question. The question-answering system determines a set of answer feasibility factors. The set of answer feasibility factors is determined using the subset of candidate situations. The set of answer feasibility factors indicates the feasibility of the answers in the first set of answers.