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。

公开(公告)号：US07881931B2

公开(公告)日：2011-02-01

申请号：US12025373

申请日：2008-02-04

申请人： Maxwell Wells ,  Vidya Venkatachalam ,  Luca Cazzanti ,  Kwan Fai Cheung ,  Navdeep Dhillon ,  Somsak Sukittanon

发明人： Maxwell Wells ,  Vidya Venkatachalam ,  Luca Cazzanti ,  Kwan Fai Cheung ,  Navdeep Dhillon ,  Somsak Sukittanon

IPC分类号： G10L15/06

CPC分类号： G06F17/30758 ,  G06F17/30017 ,  G06F17/30743 ,  G10L15/26

摘要： Copies of original sound recordings are identified by extracting features from the copy, creating a vector of those features, and comparing that vector against a database of vectors. Identification can be performed for copies of sound recordings that have been subjected to compression and other manipulation such that they are not exact replicas of the original. Computational efficiency permits many hundreds of queries to be serviced at the same time. The vectors may be less than 100 bytes, so that many millions of vectors can be stored on a portable device.

摘要翻译： 通过从副本中提取特征，创建这些特征的向量，并将该向量与向量数据库进行比较来识别原始声音记录的副本。 可以对经过压缩和其他操作的声音的副本执行识别，使得它们不是原稿的精确复制品。 计算效率允许同时处理数百个查询。 向量可以小于100字节，使得可以在便携式设备上存储数百万个向量。

公开(公告)号：US20080201140A1

公开(公告)日：2008-08-21

申请号：US12025373

申请日：2008-02-04

申请人： Maxwell Wells ,  Vidya Venkatachalam ,  Luca Cazzanti ,  Kwan Fai Cheung ,  Navdeep Dhillon ,  Somsak Sukittanon

发明人： Maxwell Wells ,  Vidya Venkatachalam ,  Luca Cazzanti ,  Kwan Fai Cheung ,  Navdeep Dhillon ,  Somsak Sukittanon

IPC分类号： G10L15/00

CPC分类号： G06F17/30758 ,  G06F17/30017 ,  G06F17/30743 ,  G10L15/26

摘要： Copies of original sound recordings are identified by extracting features from the copy, creating a vector of those features, and comparing that vector against a database of vectors. Identification can be performed for copies of sound recordings that have been subjected to compression and other manipulation such that they are not exact replicas of the original. Computational efficiency permits many hundreds of queries to be serviced at the same time. The vectors may be less than 100 bytes, so that many millions of vectors can be stored on a portable device.

摘要翻译： 通过从副本中提取特征，创建这些特征的向量，并将该向量与向量数据库进行比较来识别原始声音记录的副本。 可以对经过压缩和其他操作的声音的副本执行识别，使得它们不是原稿的精确复制品。 计算效率允许同时处理数百个查询。 向量可以小于100字节，使得可以在便携式设备上存储数百万个向量。

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。

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。

公开(公告)号：US07328153B2

公开(公告)日：2008-02-05

申请号：US10200034

申请日：2002-07-22

申请人： Maxwell Wells ,  Vidya Venkatachalam ,  Luca Cazzanti ,  Kwan Fai Cheung ,  Navdeep Dhillon ,  Somsak Sukittanon

发明人： Maxwell Wells ,  Vidya Venkatachalam ,  Luca Cazzanti ,  Kwan Fai Cheung ,  Navdeep Dhillon ,  Somsak Sukittanon

IPC分类号： G10L11/00 ,  G10L15/00

CPC分类号： G06F17/30758 ,  G06F17/30017 ,  G06F17/30743 ,  G10L15/26

摘要： Copies of original sound recordings are identified by extracting features from the copy, creating a vector of those features, and comparing that vector against a database of vectors. Identification can be performed for copies of sound recordings that have been subjected to compression and other manipulation such that they are not exact replicas of the original. Computational efficiency permits many hundreds of queries to be serviced at the same time. The vectors may be less than 100 bytes, so that many millions of vectors can be stored on a portable device.

摘要翻译： 通过从副本中提取特征，创建这些特征的向量，并将该向量与向量数据库进行比较来识别原始声音记录的副本。 可以对经过压缩和其他操作的声音的副本执行识别，使得它们不是原稿的精确复制品。 计算效率允许同时处理数百个查询。 向量可以小于100字节，使得可以在便携式设备上存储数百万个向量。

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。