Predicting lexical answer types in open domain question and answering (QA) systems
    1.
    发明授权
    Predicting lexical answer types in open domain question and answering (QA) systems 有权
    预测开放式问答环境(QA)系统中的词汇应答类型

    公开(公告)号:US09015031B2

    公开(公告)日:2015-04-21

    申请号:US13552260

    申请日:2012-07-18

    IPC分类号: G10L15/00 G06F17/27 G06F17/30

    CPC分类号: G06F17/2785 G06F17/30976

    摘要: In an automated Question Answer (QA) system architecture for automatic open-domain Question Answering, a system, method and computer program product for predicting the Lexical Answer Type (LAT) of a question. The approach is completely unsupervised and is based on a large-scale lexical knowledge base automatically extracted from a Web corpus. This approach for predicting the LAT can be implemented as a specific subtask of a QA process, and/or used for general purpose knowledge acquisition tasks such as frame induction from text.

    摘要翻译: 在用于自动开放域问题回答的自动问题答案(QA)系统架构中,一种用于预测问题的词汇答案类型(LAT)的系统,方法和计算机程序产品。 该方法是完全无监督的,并且基于从Web语料库自动提取的大规模词汇知识库。 用于预测LAT的这种方法可以被实现为QA过程的特定子任务,和/或用于通用目的知识获取任务,例如来自文本的帧归纳。

    PREDICTING LEXICAL ANSWER TYPES IN OPEN DOMAIN QUESTION AND ANSWERING (QA) SYSTEMS
    2.
    发明申请
    PREDICTING LEXICAL ANSWER TYPES IN OPEN DOMAIN QUESTION AND ANSWERING (QA) SYSTEMS 有权
    开放领域问题和答案(QA)系统中预测的解答类型

    公开(公告)号:US20130035931A1

    公开(公告)日:2013-02-07

    申请号:US13596636

    申请日:2012-08-28

    IPC分类号: G06F17/27

    CPC分类号: G06F17/2785 G06F17/30976

    摘要: In an automated Question Answer (QA) system architecture for automatic open-domain Question Answering, a system, method and computer program product for predicting the Lexical Answer Type (LAT) of a question. The approach is completely unsupervised and is based on a large-scale lexical knowledge base automatically extracted from a Web corpus. This approach for predicting the LAT can be implemented as a specific subtask of a QA process, and/or used for general purpose knowledge acquisition tasks such as frame induction from text.

    摘要翻译: 在用于自动开放域问题回答的自动问题答案(QA)系统架构中,一种用于预测问题的词汇答案类型(LAT)的系统,方法和计算机程序产品。 该方法是完全无监督的,并且基于从Web语料库自动提取的大规模词汇知识库。 用于预测LAT的这种方法可以被实现为QA过程的特定子任务,和/或用于通用目的知识获取任务,例如来自文本的帧归纳。

    Predicting lexical answer types in open domain question and answering (QA) systems
    4.
    发明授权
    Predicting lexical answer types in open domain question and answering (QA) systems 有权
    预测开放式问答环境(QA)系统中的词汇应答类型

    公开(公告)号:US08880388B2

    公开(公告)日:2014-11-04

    申请号:US13596636

    申请日:2012-08-28

    IPC分类号: G10L15/00

    CPC分类号: G06F17/2785 G06F17/30976

    摘要: In an automated Question Answer (QA) system architecture for automatic open-domain Question Answering, a system, method and computer program product for predicting the Lexical Answer Type (LAT) of a question. The approach is completely unsupervised and is based on a large-scale lexical knowledge base automatically extracted from a Web corpus. This approach for predicting the LAT can be implemented as a specific subtask of a QA process, and/or used for general purpose knowledge acquisition tasks such as frame induction from text.

    摘要翻译: 在用于自动开放域问题回答的自动问题答案(QA)系统架构中,一种用于预测问题的词汇答案类型(LAT)的系统,方法和计算机程序产品。 该方法是完全无监督的,并且是基于从Web语料库自动提取的大规模词汇知识库。 用于预测LAT的这种方法可以被实现为QA过程的特定子任务,和/或用于通用目的知识获取任务,例如来自文本的帧归纳。

    Evidence diffusion among candidate answers during question answering
    5.
    发明授权
    Evidence diffusion among candidate answers during question answering 有权
    问答期间候选答案之间的证据扩散

    公开(公告)号:US08738365B2

    公开(公告)日:2014-05-27

    申请号:US13616924

    申请日:2012-09-14

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30654 G06F17/30507

    摘要: Diffusing evidence among candidate answers during question answering may identify a relationship between a first candidate answer and a second candidate answer, wherein the candidate answers are generated by a question-answering computer process, the candidate answers have associated supporting evidence, and the candidate answers have associated confidence scores. All or some of the evidence may be transferred from the first candidate answer to the second candidate answer based on the identified relationship. A new confidence score may be computed for the second candidate answer based on the transferred evidence.

    摘要翻译: 在问题回答期间候选答案之间的扩散证据可以识别第一候选答案和第二候选答案之间的关系,其中候选答案由问答电脑程序产生,候选答案具有相关的支持证据,候选答案具有 相关的信心分数。 基于所识别的关系,所有或一些证据可以从第一候选答案转移到第二候选答案。 可以基于转移的证据为第二候选答案计算新的置信度。

    FACT CHECKING USING AND AIDING PROBABILISTIC QUESTION ANSWERING
    8.
    发明申请
    FACT CHECKING USING AND AIDING PROBABILISTIC QUESTION ANSWERING 有权
    实际检查使用和援助概率问题的答案

    公开(公告)号:US20120078826A1

    公开(公告)日:2012-03-29

    申请号:US13247527

    申请日:2011-09-28

    IPC分类号: G06F15/18 G06N5/00

    CPC分类号: G06N7/005

    摘要: A system, a method and a computer program product for verifying a statement are provided. The system is configured to receive a statement. The system is configured to decompose the received statement into one or more sets of question and answer pairs. The system is configured to determine a confidence value of each answer in the one or more question and answer pair sets. The system is configured to combine the determined confidence values. The combined confidence values represent a probability that the received statement is evaluated as true.

    摘要翻译: 提供了一种用于验证语句的系统,方法和计算机程序产品。 系统配置为接收语句。 该系统被配置为将接收到的语句分解成一组或多组问答对。 该系统被配置为确定一个或多个问答对集合中每个答案的置信度值。 该系统被配置为组合确定的置信度值。 组合的置信度值表示接收到的语句被评估为真的概率。