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    Method and system for extending keyword searching to syntactically and semantically annotated data
    1.
    发明申请
    Method and system for extending keyword searching to syntactically and semantically annotated data 有权
    将关键字搜索扩展到语法和语义注释数据的方法和系统

    公开(公告)号：US20050267871A1

    公开(公告)日：2005-12-01

    申请号：US11012089

    申请日：2004-12-13

    申请人： Giovanni Marchisio ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Carsten Tusk ,  Navdeep Dhillon ,  Lubos Pochman ,  Matthew Brown

    发明人： Giovanni Marchisio ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Carsten Tusk ,  Navdeep Dhillon ,  Lubos Pochman ,  Matthew Brown

    IPC分类号： G06F7/00 ,  G06F17/30

    CPC分类号： G06F17/30672 ,  Y10S707/99931 ,  Y10S707/99943

    摘要： Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.

    摘要翻译： 提供了将关键字搜索技术扩展到语法和语义注释数据的方法和系统。 示例性实施例提供了一种语法查询引擎（“SQE”），其用文档术语解析，索引和存储数据集作为增强文档索引，以及与术语和本体语义信息以及其他语义信息有关的语法角色的信息。 在一个实施例中，增强的文档索引是术语子句索引的形式，其在子句级别对术语和句法和语义注释进行索引。 增强的文档索引允许使用传统的关键字搜索引擎来处理关系查询以及处理标准的文档级关键词搜索。 在一个实施例中，SQE包括查询处理器，数据集预处理器，关键字搜索引擎，数据集索引器，增强自然语言解析器（“ENLP”），数据集存储库，并且在一些实施例中包括用户 接口或应用程序编程接口。

    Extending keyword searching to syntactically and semantically annotated data
    2.
    发明申请
    Extending keyword searching to syntactically and semantically annotated data 有权
    将关键字搜索扩展到语法和语义注释的数据

    公开(公告)号：US20070156669A1

    公开(公告)日：2007-07-05

    申请号：US11601612

    申请日：2006-11-16

    申请人： Giovanni Marchisio ,  Navdeep Dhillon ,  Carsten Tusk ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Matthew Brown

    发明人： Giovanni Marchisio ,  Navdeep Dhillon ,  Carsten Tusk ,  Krzysztof Koperski ,  Jisheng Liang ,  Thien Nguyen ,  Matthew Brown

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30864 ,  G06F17/30011 ,  G06F17/30684 ,  G06F17/30731

    摘要： Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

    摘要翻译： 提供了将关键字搜索技术扩展到语法和语义注释数据的方法和系统。 示例性实施例提供了一种语法查询引擎（“SQE”），其用文档术语解析，索引和存储数据集作为增强文档索引，以及与术语和本体语义信息以及其他语义信息有关的语法角色的信息。 在一个实施例中，增强的文档索引是术语子句索引的形式，其在子句级别对术语和句法和语义注释进行索引。 增强的文档索引允许使用传统的关键字搜索引擎来处理关系查询以及处理标准的文档级关键词搜索。 提供本摘要以符合要求摘要的规则，并提交其意图是不会用于解释或限制权利要求书的范围或含义。

    NLP-based systems and methods for providing quotations
    3.
    发明授权
    NLP-based systems and methods for providing quotations 有权
    基于NLP的系统和提供报价的方法

    公开(公告)号：US08645125B2

    公开(公告)日：2014-02-04

    申请号：US13075799

    申请日：2011-03-30

    申请人： Jisheng Liang ,  Navdeep Dhillon ,  Krzysztof Koperski

    发明人： Jisheng Liang ,  Navdeep Dhillon ,  Krzysztof Koperski

    IPC分类号： G06F17/27

    CPC分类号： G06F17/278 ,  G06F17/2705 ,  G06F17/274 ,  G06F17/2775 ,  G06F17/28 ,  G06F17/30011 ,  G06F17/30684

    摘要： Techniques for providing quotations obtained from text documents using natural language processing techniques are described. Some embodiments provide a content recommendation system (“CRS”) configured to provide quotations by extracting quotations from a corpus text documents, and providing access to the extracted quotations in response to search requests received from users. The CRS may extract quotations by using natural language processing-based techniques to identify one or more entities, such as people, places, objects, concepts, or the like, that are referenced by the extracted quotations. The CRS may then store the extracted quotations along with identified entities, such as quotation speakers and subjects, for later access via search requests.

    摘要翻译： 描述使用自然语言处理技术从文本文档获得报价的技术。 一些实施例提供了一种内容推荐系统（“CRS”），其被配置为通过从语料库文本文档中提取报价来提供报价，并且响应于从用户接收的搜索请求提供对所提取的报价的访问。 CRS可以通过使用基于自然语言处理的技术来提取报价，以识别由提取的报价引用的一个或多个实体，例如人，地点，对象，概念等。 然后，CRS可以将所提取的报价与所识别的实体（例如引号说话者和主题）一起存储，以供稍后通过搜索请求访问。

    NLP-BASED SYSTEMS AND METHODS FOR PROVIDING QUOTATIONS
    4.
    发明申请
    NLP-BASED SYSTEMS AND METHODS FOR PROVIDING QUOTATIONS 有权
    基于NLP的系统和提供报价的方法

    公开(公告)号：US20110246181A1

    公开(公告)日：2011-10-06

    申请号：US13075799

    申请日：2011-03-30

    申请人： Jisheng Liang ,  Navdeep Dhillon ,  Krzysztof Koperski

    发明人： Jisheng Liang ,  Navdeep Dhillon ,  Krzysztof Koperski

    IPC分类号： G06F17/27

    CPC分类号： G06F17/278 ,  G06F17/2705 ,  G06F17/274 ,  G06F17/2775 ,  G06F17/28 ,  G06F17/30011 ,  G06F17/30684

    摘要： Techniques for providing quotations obtained from text documents using natural language processing techniques are described. Some embodiments provide a content recommendation system (“CRS”) configured to provide quotations by extracting quotations from a corpus text documents, and providing access to the extracted quotations in response to search requests received from users. The CRS may extract quotations by using natural language processing-based techniques to identify one or more entities, such as people, places, objects, concepts, or the like, that are referenced by the extracted quotations. The CRS may then store the extracted quotations along with identified entities, such as quotation speakers and subjects, for later access via search requests.

    摘要翻译： 描述使用自然语言处理技术从文本文档获得报价的技术。 一些实施例提供了一种内容推荐系统（“CRS”），其被配置为通过从语料库文本文档中提取报价来提供报价，并且响应于从用户接收的搜索请求提供对所提取的报价的访问。 CRS可以通过使用基于自然语言处理的技术来提取报价，以识别由提取的报价引用的一个或多个实体，例如人，地点，对象，概念等。 然后，CRS可以将所提取的报价与所识别的实体（例如引号说话者和主题）一起存储，以供稍后通过搜索请求访问。