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    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

    申请人： David A. Ferrucci ,  Alfio M. Gliozzo ,  Aditya A. Kalyanpur

    发明人： David A. Ferrucci ,  Alfio M. Gliozzo ,  Aditya A. Kalyanpur

    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

    申请人： David A. Ferrucci ,  Alfio M. Gliozzo ,  Aditya A. Kalyanpur

    发明人： David A. Ferrucci ,  Alfio M. Gliozzo ,  Aditya A. Kalyanpur

    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。

    PREDICTING LEXICAL ANSWER TYPES IN OPEN DOMAIN QUESTION AND ANSWERING (QA) SYSTEMS
    3.
    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

    申请人： David A. Ferrucci ,  Alfio M. Gliozzo ,  Aditya A. Kalyanpur

    发明人： David A. Ferrucci ,  Alfio M. Gliozzo ,  Aditya A. Kalyanpur

    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。

    Querying and integrating structured and unstructured data
    5.
    发明授权
    Querying and integrating structured and unstructured data 有权
    查询和整合结构化和非结构化数据

    公开(公告)号：US09037615B2

    公开(公告)日：2015-05-19

    申请号：US13493174

    申请日：2012-06-11

    申请人： Mihaela Ancuta Bornea ,  Songyun Duan ,  James J. Fan ,  Achille Fokoue-Nkoutche ,  Alfio M. Gliozzo ,  Aditya Kalyanpur ,  Anastasios Kementsietsidis ,  Kavitha Srinivas ,  Michael J. Ward

    发明人： Mihaela Ancuta Bornea ,  Songyun Duan ,  James J. Fan ,  Achille Fokoue-Nkoutche ,  Alfio M. Gliozzo ,  Aditya Kalyanpur ,  Anastasios Kementsietsidis ,  Kavitha Srinivas ,  Michael J. Ward

    IPC分类号： G06F7/00 ,  G06F17/30

    CPC分类号： G06F17/30946 ,  G06F17/30292

    摘要： A computer-implemented method, system, and article of manufacture for querying and integrating structured and unstructured data. The method includes: receiving entity information that is extracted from a first set of unstructured data using an open domain information extraction system, wherein the entity in-formation comprises relationship information between a first entity and a second entity of the first set of unstructured data; recognizing a pattern based on the relationship information and creating a schema for the first set of unstructured data based on the pattern; and associating an element of the created schema with (i) an entity of a second set of unstructured data or (ii) a schema element of an existing set of structured data if there is sufficient overall similarity between the created schema element and either the second unstructured data entity or the schema element of the existing structured data.

    摘要翻译： 用于查询和整合结构化和非结构化数据的计算机实现的方法，系统和制造。 该方法包括：使用开放域信息提取系统接收从第一组非结构化数据提取的实体信息，其中所述实体信息包括第一组非结构化数据的第一实体与第二实体之间的关系信息; 基于所述关系信息识别模式，并基于所述模式为所述第一组非结构化数据创建模式; 并且将所创建的模式的元素与（i）第二组非结构化数据的实体相关联，或者（ii）现有结构化数据集合的模式元素，如果所创建的模式元素与第二组之间存在足够的总体相似度 非结构化数据实体或现有结构化数据的架构元素。

    QUERYING AND INTEGRATING STRUCTURED AND INSTRUCTURED DATA
    6.
    发明申请
    QUERYING AND INTEGRATING STRUCTURED AND INSTRUCTURED DATA 有权
    查询和整合结构化和结构化数据

    公开(公告)号：US20130332478A1

    公开(公告)日：2013-12-12

    申请号：US13493174

    申请日：2012-06-11

    申请人： Mihaela Ancuta Bornea ,  Songyun Duan ,  James J. Fan ,  Achille Fokoue-Nkoutche ,  Alfio M. Gliozzo ,  Aditya Kalyanpur ,  Anastasios Kementsietsidis ,  Kavitha Srinivas ,  Michael J. Ward

    发明人： Mihaela Ancuta Bornea ,  Songyun Duan ,  James J. Fan ,  Achille Fokoue-Nkoutche ,  Alfio M. Gliozzo ,  Aditya Kalyanpur ,  Anastasios Kementsietsidis ,  Kavitha Srinivas ,  Michael J. Ward

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30946 ,  G06F17/30292

    摘要： A computer-implemented method, system, and article of manufacture for querying and integrating structured and unstructured data. The method includes: receiving entity information that is extracted from a first set of unstructured data using an open domain information extraction system, wherein the entity information comprises relationship information between a first entity and a second entity of the first set of unstructured data; recognizing a pattern based on the relationship information and creating a schema for the first set of unstructured data based on the pattern; and associating an element of the created schema with (i) an entity of a second set of unstructured data or (ii) a schema element of an existing set of structured data if there is sufficient overall similarity between the created schema element and either the second unstructured data entity or the schema element of the existing structured data.

    摘要翻译： 用于查询和整合结构化和非结构化数据的计算机实现的方法，系统和制造。 该方法包括：使用开放域信息提取系统接收从第一组非结构化数据提取的实体信息，其中实体信息包括第一组非结构化数据的第一实体与第二实体之间的关系信息; 基于所述关系信息识别模式，并基于所述模式为所述第一组非结构化数据创建模式; 并且将所创建的模式的元素与（i）第二组非结构化数据的实体相关联，或者（ii）现有结构化数据集合的模式元素，如果所创建的模式元素与第二组之间存在足够的总体相似度 非结构化数据实体或现有结构化数据的架构元素。