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    Automatic question generation and answering based on monitored messaging sessions
    1.
    发明授权
    Automatic question generation and answering based on monitored messaging sessions 有权

    公开(公告)号：US10275448B2

    公开(公告)日：2019-04-30

    申请号：US15953558

    申请日：2018-04-16

    Applicant: International Business Machines Corporation

    Inventor： Scott H. Isensee ,  William G. O'Keeffe ,  David R. Schwartz ,  Cale R. Vardy

    IPC: G06F15/16 ,  G06F17/27 ,  H04L12/58 ,  G06Q30/00 ,  H04L29/08

    Abstract: Mechanisms are provided, in a first computing device, for sharing content of communication sessions. The mechanisms establish a first communication session between the first computing device and a second computing device. The first computing device is operated by a first user and the second computing device is operated by a second user. The apparatus establishes, in response to content of the first communication session indicating subject matter for which additional information is desired by at least one of the first user or the second user, a second communication session between the first computing device and a question and answer (QA) system. In response to an input by the first user requesting sharing of information, the first computing device automatically copies a portion of content of the first communication session to the second communication session as an input question submitted to the QA system.

    User interface for a query answering system
    2.
    发明授权
    User interface for a query answering system 有权

    公开(公告)号：US10102275B2

    公开(公告)日：2018-10-16

    申请号：US14722830

    申请日：2015-05-27

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Donna K. Byron ,  Scott H. Isensee ,  Ashok Kumar ,  Mark Marrara ,  Mary D. Swift ,  Cale R. Vardy

    IPC: G06F17/30 ,  G06F17/27

    Abstract: A method, system or computer usable program product for utilizing a dialectical model for providing an answer to a user query including applying NLP to the query to generate a first set of NLP structures; generating a contrary set of NLP structures contrary to the user query; evaluating the first set of NLP structures to identify a first set of evidence; evaluating the contrary set of NLP structures to identify a second set of evidence; evaluating a first set of hypotheses from the first set of NLP structures and a contrary set of hypotheses from the contrary set of NLP structures to determine a set of answers to the user query; summarizing the set of answers including indicating derivation thereof; and providing the summarized set of answers to the user.

    Answer Confidence Output Mechanism for Question and Answer Systems
    5.
    发明申请
    Answer Confidence Output Mechanism for Question and Answer Systems 审中-公开

    公开(公告)号：US20160026378A1

    公开(公告)日：2016-01-28

    申请号：US14865008

    申请日：2015-09-25

    Applicant: International Business Machines Corporation

    Inventor： Scott H. Isensee ,  William G. O'Keeffe ,  David R. Schwartz ,  Cale R. Vardy

    IPC: G06F3/0484 ,  G06F17/30

    CPC classification number: G06F3/04847 ,  G06F3/04842 ,  G06F16/24578 ,  G06F16/287 ,  G06F16/3329 ,  G06F16/951

    Abstract: Mechanisms are provided for generating an output of confidence score for candidate answers of an input question. The mechanisms, implemented in a data processing system configured to answer an input question receive candidate answer information comprising confidence scores associated with candidate answers for the input question. The mechanisms categorize, for each candidate answer in the candidate answer information, the corresponding confidence score into one of a plurality of confidence score categories. For each candidate answer in the candidate answer information, a graphical representation of the confidence score category of the candidate answer is generated. A graphical user interface output comprising an entry for each candidate answer in the candidate answer information is generated where each entry comprises the corresponding graphical representation of the confidence score category of the candidate answer corresponding to the entry.

    IMAGES FOR A QUESTION ANSWERING SYSTEM
    6.
    发明申请
    IMAGES FOR A QUESTION ANSWERING SYSTEM 有权
    一个问题解答系统的图像

    公开(公告)号：US20150278252A1

    公开(公告)日：2015-10-01

    申请号：US14224486

    申请日：2014-03-25

    Applicant: International Business Machines Corporation

    Inventor： Salil Ahuja ,  Scott H. Isensee ,  Scott M. Lewis ,  William G. O'Keeffe ,  Cale R. Vardy

    IPC: G06F17/30 ,  G06F17/28

    CPC classification number: G06F17/30268 ,  G06F17/30277 ,  G06F17/30412 ,  G06F17/30643 ,  G06F17/30867

    Abstract: A method for providing content relevant images for an input question to a deep question answering system is disclosed. The method can include formulating, in response to receiving the input question, an answer to the input question. The method can also include identifying, based on the answer to the input question, a set of candidate images from a corpus of information. The set of candidate images may relate to the answer. The method can also include determining, based on a confidence value of the set of candidate images and a designated display specification, a first subset of the set of candidate images to provide in a display area. The method can also include selecting the first subset to be provided in the display area.

    Abstract translation: 公开了一种向深问答系统提供输入问题的内容相关图像的方法。 该方法可以包括响应于接收输入问题而形成对输入问题的答案。 该方法还可以包括基于输入问题的答案来识别来自信息语料库的一组候选图像。 候选图像的集合可以与答案有关。 该方法还可以包括基于候选图像集合的置信度值和指定的显示规格来确定在显示区域中提供的候选图像集合的第一子集。 该方法还可以包括选择要在显示区域中提供的第一子集。

    Automatic Question Generation and Answering Based on Monitored Messaging Sessions
    7.
    发明申请
    Automatic Question Generation and Answering Based on Monitored Messaging Sessions 有权
    基于监控消息会话的自动问题生成和回答

    公开(公告)号：US20150088998A1

    公开(公告)日：2015-03-26

    申请号：US14037470

    申请日：2013-09-26

    Applicant: International Business Machines Corporation

    Inventor： Scott H. Isensee ,  William G. O'Keeffe ,  David R. Schwartz ,  Cale R. Vardy

    IPC: H04L12/58

    CPC classification number: G06F17/2765 ,  G06Q30/016 ,  H04L51/02 ,  H04L51/16 ,  H04L67/141

    Abstract: Mechanisms are provided, in a first computing device, for sharing content of communication sessions. The mechanisms establish a first communication session between the first computing device and a second computing device. The first computing device is operated by a first user and the second computing device is operated by a second user. The apparatus establishes, in response to content of the first communication session indicating subject matter for which additional information is desired by at least one of the first user or the second user, a second communication session between the first computing device and a question and answer (QA) system. In response to an input by the first user requesting sharing of information, the first computing device automatically copies a portion of content of the first communication session to the second communication session as an input question submitted to the QA system.

    Abstract translation: 在第一计算设备中提供用于共享通信会话的内容的机制。 该机制在第一计算设备和第二计算设备之间建立第一通信会话。 第一计算设备由第一用户操作，第二计算设备由第二用户操作。 该装置响应于第一通信会话的内容，指示第一用户或第二用户中的至少一个所期望的附加信息的主题，第一计算设备和问答之间的第二通信会话 QA）系统。 响应于第一用户请求共享信息的输入，第一计算设备自动将第一通信会话的内容的一部分复制到第二通信会话，作为提交给QA系统的输入问题。

    USER INTERFACE FOR A QUERY ANSWERING SYSTEM
    8.
    发明申请
    USER INTERFACE FOR A QUERY ANSWERING SYSTEM 审中-公开

    公开(公告)号：US20180341699A1

    公开(公告)日：2018-11-29

    申请号：US16038153

    申请日：2018-07-17

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Donna K. Byron ,  Scott H. Isensee ,  Ashok Kumar ,  Mark Marrara ,  Mary D. Swift ,  Cale R. Vardy

    IPC: G06F17/30 ,  G06F17/27

    Abstract: A method, system or computer usable program product for utilizing a dialectical model for providing an answer to a user query including applying NLP to the query to generate a first set of NLP structures; generating a contrary set of NLP structures contrary to the user query; evaluating the first set of NLP structures to identify a first set of evidence; evaluating the contrary set of NLP structures to identify a second set of evidence; evaluating a first set of hypotheses from the first set of NLP structures and a contrary set of hypotheses from the contrary set of NLP structures to determine a set of answers to the user query; summarizing the set of answers including indicating derivation thereof; and providing the summarized set of answers to the user.

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