Entity category extraction for an entity that is the subject of pre-labeled data
    1.
    发明授权
    Entity category extraction for an entity that is the subject of pre-labeled data 有权
    作为预标记数据主体的实体的实体类别提取

    公开(公告)号:US09268878B2

    公开(公告)日:2016-02-23

    申请号:US12820349

    申请日:2010-06-22

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30943 G06F17/30707

    摘要: Summaries of entities (e.g., people, places, things, concepts, etc.) may provide additional useful information to user. For example, a search engine may provide a summary of an entity within search results. A category (e.g., “writer”, “politician”, etc.) of the entity that is short and concise may be advantageous to provide within a summary of the entity. The category may allow a user to quickly determine whether the information of the entity relates to the intended entity (e.g., search results of an entity as “a writer” vs. search results of an entity as “a politician”). Potential categories and summary text may be extracted from pre-labeled data. The potential categories and summary text may be intersected to determine a set of candidate categories that may be ranked. An entity category having a desired ranked may be determined as the entity category that describes the entity in a desired way.

    摘要翻译: 实体(例如,人员,地点,事物,概念等)的摘要可以向用户提供额外的有用信息。 例如,搜索引擎可以提供搜索结果内的实体的摘要。 实体的类别(例如“作者”,“政治家”等)简明扼要可能有利于在实体的总结中提供。 该类别可以允许用户快速确定实体的信息是否与预期实体相关(例如,实体作为“作者”的搜索结果与实体的搜索结果相对于“政治家”)。 可能从预先标记的数据中提取潜在的类别和摘要文本。 潜在的类别和摘要文本可以相交,以确定可能被排名的一组候选类别。 可以将具有期望排名的实体类别确定为以期望的方式描述实体的实体类别。

    ENTITY CATEGORY DETERMINATION
    2.
    发明申请
    ENTITY CATEGORY DETERMINATION 有权
    实体类别确定

    公开(公告)号:US20110314018A1

    公开(公告)日:2011-12-22

    申请号:US12820349

    申请日:2010-06-22

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30943 G06F17/30707

    摘要: Summaries of entities (e.g., people, places, things, concepts, etc.) may provide additional useful information to user. For example, a search engine may provide a summary of an entity within search results. A category (e.g., “writer”, “politician”, etc.) of the entity that is short and concise may be advantageous to provide within a summary of the entity. The category may allow a user to quickly determine whether the information of the entity relates to the intended entity (e.g., search results of an entity as “a writer” vs. search results of an entity as “a politician”). Potential categories and summary text may be extracted from pre-labeled data. The potential categories and summary text may be intersected to determine a set of candidate categories that may be ranked. An entity category having a desired ranked may be determined as the entity category that describes the entity in a desired way.

    摘要翻译: 实体(例如,人员,地点,事物,概念等)的摘要可以向用户提供额外的有用信息。 例如,搜索引擎可以提供搜索结果内的实体的摘要。 实体的类别(例如“作者”,“政治家”等)简明扼要可能有利于在实体的总结中提供。 该类别可以允许用户快速确定实体的信息是否与预期实体相关(例如,实体作为“作者”的搜索结果与实体的搜索结果相对于“政治家”)。 可能从预先标记的数据中提取潜在的类别和摘要文本。 潜在的类别和摘要文本可以相交,以确定可能被排名的一组候选类别。 可以将具有期望排名的实体类别确定为以期望的方式描述实体的实体类别。

    Coreference Resolution In An Ambiguity-Sensitive Natural Language Processing System
    3.
    发明申请
    Coreference Resolution In An Ambiguity-Sensitive Natural Language Processing System 有权
    一个歧义敏感的自然语言处理系统中的核心分辨率

    公开(公告)号:US20090076799A1

    公开(公告)日:2009-03-19

    申请号:US12200962

    申请日:2008-08-29

    IPC分类号: G06F17/27

    CPC分类号: G06F17/2765 G06F17/2785

    摘要: Technologies are described herein for coreference resolution in an ambiguity-sensitive natural language processing system. Techniques for integrating reference resolution functionality into a natural language processing system can processes documents to be indexed within an information search and retrieval system. Ambiguity awareness features, as well as ambiguity resolution functionality, can operate in coordination with coreference resolution. Annotation of coreference entities, as well as ambiguous interpretations, can be supported by in-line markup within text content or by external entity maps. Information expressed within documents can be formally organized in terms of facts, or relationships between entities in the text. Expansion can support applying multiple aliases, or ambiguities, to an entity being indexed so that all of the possibly references or interpretations for that entity are captured into the index. Alternative stored descriptions can support retrieval of a fact by either the original description or a coreferential description.

    摘要翻译: 本文描述了在歧义敏感的自然语言处理系统中的技术。 将参考分辨率功能集成到自然语言处理系统中的技术可以处理在信息搜索和检索系统内索引的文档。 模糊识别功能以及模糊度解析功能可与协作解决方案协调工作。 可以通过文本内容或外部实体映射中的在线标记来支持对关键实体的注释以及模糊的解释。 在文件中表达的信息可以根据事实或文本中实体之间的关系正式组织。 扩展可以支持对被索引的实体应用多个别名或歧义,以便将该实体的所有可能的引用或解释都捕获到索引中。 替代存储的描述可以支持通过原始描述或者核心概念来检索事实。

    Coreference resolution in an ambiguity-sensitive natural language processing system
    4.
    发明授权
    Coreference resolution in an ambiguity-sensitive natural language processing system 有权
    歧义敏感自然语言处理系统中的核心分辨率

    公开(公告)号:US08712758B2

    公开(公告)日:2014-04-29

    申请号:US12200962

    申请日:2008-08-29

    IPC分类号: G06F17/20 G06F17/27

    CPC分类号: G06F17/2765 G06F17/2785

    摘要: Technologies are described herein for coreference resolution in an ambiguity-sensitive natural language processing system. Techniques for integrating reference resolution functionality into a natural language processing system can processes documents to be indexed within an information search and retrieval system. Ambiguity awareness features, as well as ambiguity resolution functionality, can operate in coordination with coreference resolution. Annotation of coreference entities, as well as ambiguous interpretations, can be supported by in-line markup within text content or by external entity maps. Information expressed within documents can be formally organized in terms of facts, or relationships between entities in the text. Expansion can support applying multiple aliases, or ambiguities, to an entity being indexed so that all of the possibly references or interpretations for that entity are captured into the index. Alternative stored descriptions can support retrieval of a fact by either the original description or a coreferential description.

    摘要翻译: 本文描述了在歧义敏感的自然语言处理系统中的技术。 将参考分辨率功能集成到自然语言处理系统中的技术可以处理在信息搜索和检索系统内索引的文档。 模糊识别功能以及模糊度解析功能可与协作解决方案协调工作。 可以通过文本内容或外部实体映射中的在线标记来支持对关键实体的注释以及模糊的解释。 在文件中表达的信息可以根据事实或文本中实体之间的关系正式组织。 扩展可以支持对被索引的实体应用多个别名或歧义,以便将该实体的所有可能的引用或解释都捕获到索引中。 替代存储的描述可以支持通过原始描述或者核心概念来检索事实。

    Indentifying referring expressions for concepts
    5.
    发明授权
    Indentifying referring expressions for concepts 有权
    识别概念的引用表达式

    公开(公告)号:US08332426B2

    公开(公告)日:2012-12-11

    申请号:US12953166

    申请日:2010-11-23

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06F17/30734 G06F17/30864

    摘要: Referring expressions are identified for concepts by analyzing search query and result selection information. An ontology of concepts is identified, and at least one document is associated with each concept. The document associated with a concept is representative of the concept. Search query information from a search engine is analyzed to identify search queries that resulted in user selections of documents associated with the concepts. Referring expressions that refer to the concepts are identified based on the search queries that resulted in user selections of documents corresponding with the concepts. After identifying referring expressions for concepts, search queries may be mapped to referring expressions to identify concepts to which the search queries pertain, and search result pages may be generated based on knowledge of the concepts.

    摘要翻译: 通过分析搜索查询和结果选择信息,为概念识别参考表达式。 识别概念的本体论,并且至少一个文档与每个概念相关联。 与概念相关的文件是该概念的代表。 分析来自搜索引擎的搜索查询信息,以识别导致用户选择与概念相关联的文档的搜索查询。 基于搜索查询来识别参考概念的引用表达式,导致用户选择与概念相对应的文档。 在识别概念的引用表达之后,搜索查询可以被映射到引用表达以识别搜索查询所涉及的概念,并且可以基于概念的知识来生成搜索结果页面。

    Enhancing a document with supplemental information from another document
    6.
    发明授权
    Enhancing a document with supplemental information from another document 有权
    从另一份文件中增补附有资料的文件

    公开(公告)号:US08954434B2

    公开(公告)日:2015-02-10

    申请号:US12684433

    申请日:2010-01-08

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30616

    摘要: The present technology is related to identifying, from within a corpus of documents, a subject (e.g., person, location, date, etc.) that is relevant to a topic and that is usable to enhance a topic-describing document. Documents within the corpus of documents share a link structure, such that some documents include hyperlinks that enable navigation to the topic-describing document, and the topic-describing document includes hyperlinks that enable navigation to other documents. Text of documents within the corpus is parsed to identify the subject, and a context of the subject suggests a degree of relevance of the subject to the topic. An enhancement type of the subject is determined, and a version of the topic-describing document is enhanced to include a presentation of the subject.

    摘要翻译: 本技术涉及从文档的语料库中识别与主题相关并且可用于增强主题描述文档的主题(例如,人,位置,日期等)。 文件语料库中的文档共享链接结构,使得一些文档包括能够导航到主题描述文档的超链接,并且主题描述文档包括能够导航到其他文档的超链接。 语料库中文件的文本被解析以识别主题,并且该主题的上下文表明该主题与该主题的一定程度的相关性。 确定对象的增强类型,并且增强主题描述文档的版本以包括对象的呈现。

    Concept disambiguation via search engine search results
    7.
    发明授权
    Concept disambiguation via search engine search results 有权
    通过搜索引擎搜索结果的概念消歧

    公开(公告)号:US08364672B2

    公开(公告)日:2013-01-29

    申请号:US12953139

    申请日:2010-11-23

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06F17/30675

    摘要: Concept disambiguation is provided for search queries by analyzing search results in conjunction with an ontology of concepts. An ontology of concepts is identified, and at least one document is associated with each concept. The document associated with a concept is representative of the concept and used to generate a concept signature. When a search query is received, it is processed to obtain search results. The search results are used to generate a search results signature, which is compared to the concept signatures to identify one or more concepts that are relevant to the search query.

    摘要翻译: 通过结合本体概念分析搜索结果,为搜索查询提供概念消歧。 识别概念的本体论,并且至少一个文档与每个概念相关联。 与概念相关联的文档代表了概念,并用于生成概念签名。 当收到一个搜索查询时,它被处理以获得搜索结果。 搜索结果用于生成搜索结果签名,其与概念签名进行比较以识别与搜索查询相关的一个或多个概念。

    Geotemporal search
    8.
    发明授权
    Geotemporal search 有权
    地理搜索

    公开(公告)号:US08260775B2

    公开(公告)日:2012-09-04

    申请号:US12686128

    申请日:2010-01-12

    IPC分类号: G06F7/00

    CPC分类号: G06F17/30241 G06F17/30398

    摘要: Computer-readable media and a computing device are described for providing geotemporal search and a search interface therefor. A search interface having a location portion and a timeline portion is provided. A geographic area is selected in the location portion by adjusting the visible area of a map. A temporal window is selected in the timeline portion by adjusting sliders along a timeline to a desired start and end time. The start and end times can be in the past, present, or future. A geotemporal search is executed based on the selected geographic area and temporal window to identify search results having associated metadata indicating a relationship to the selected geographic area and temporal window. One or more search terms are optionally provided to further refine the geotemporal search.

    摘要翻译: 描述了用于提供地理搜索及其搜索界面的计算机可读介质和计算设备。 提供具有位置部分和时间线部分的搜索界面。 通过调整地图的可见区域,在位置部分中选择地理区域。 通过将时间轴上的滑块调整到期望的开始和结束时间,在时间线部分中选择时间窗口。 开始和结束时间可以在过去,现在或将来。 基于所选择的地理区域和时间窗口执行地理时间搜索,以识别具有指示与所选择的地理区域和时间窗口的关系的相关联的元数据的搜索结果。 可选地提供一个或多个搜索词以进一步优化地理时间搜索。

    Semi-automatic example-based induction of semantic translation rules to support natural language search
    9.
    发明授权
    Semi-automatic example-based induction of semantic translation rules to support natural language search 有权
    基于半自动的基于示例的语义翻译规则的归纳来支持自然语言搜索

    公开(公告)号:US08041697B2

    公开(公告)日:2011-10-18

    申请号:US12201066

    申请日:2008-08-29

    IPC分类号: G06F17/30

    摘要: Technologies are described herein for generating a semantic translation rule to support natural language search. In one method, a first expression and a second expression are received. A first representation is generated based on the first expression, and a second representation is generated based on the second expression. Aligned pairs of a first term in the first representation and a second term in the second representation are determined. For each aligned pair, the first term and the second term are replaced with a variable associated with the aligned pair. Word facts that occur in both the first representation and the second representation are removed from the first representation and the second representation. The remaining word facts in the first representation are replaced with a broader representation of the word facts. The translation rule including the first representation, an operator, and the second semantic representation is generated.

    摘要翻译: 本文描述了用于生成支持自然语言搜索的语义翻译规则的技术。 在一种方法中,接收第一表达式和第二表达式。 基于第一表达式生成第一表示,并且基于第二表达式生成第二表示。 确定第一表示中的第一项和第二表示中的第二项的对齐对。 对于每个对齐的对,第一项和第二项被替换为与对齐对相关的变量。 在第一表示和第二表示中出现的字事实从第一表示和第二表示中移除。 第一个表述中的剩余单词事实被替换为事实一词的更广泛的表示。 生成包括第一表示,运算符和第二语义表示的翻译规则。

    Systems and methods for brokering services
    10.
    发明授权
    Systems and methods for brokering services 失效
    经纪服务的系统和方法

    公开(公告)号:US07689645B2

    公开(公告)日:2010-03-30

    申请号:US11090824

    申请日:2005-03-24

    IPC分类号: G06F15/16

    CPC分类号: G06F17/3089 H04L12/66

    摘要: Techniques are provided to determine service data features from an archive of web service transactions. Data features for functionally identical classes of service are determined. Differentiating data feature patterns uniquely identifying each service within the class are learned using machine learning, clustering, statistical analysis and the like. A service map associating services with the differentiating patterns is determined. The service map contains data feature patterns that differentiate among otherwise functionally identical services. The data features are optionally associated with past usage, objective and subjective service quality measurements and the like. The data features of the received service requests are compared to differentiating patterns in the service map. The service associated with the differentiating patterns matching the data features of the service request is selected. The data features of the service request may include, but document language, document genre, number of words or characters, type of images, subject matter of images and the like.

    摘要翻译: 提供技术来从Web服务事务的归档中确定服务数据特征。 确定功能相同的服务类别的数据特征。 使用机器学习,聚类,统计分析等方法,对使用该类别中唯一标识每个服务的数据特征模式进行区分。 确定将服务与区分模式相关联的服务地图。 服务地图包含区分功能相同服务的数据特征模式。 数据特征可选地与过去的使用,客观和主观的服务质量测量等相关联。 将接收的服务请求的数据特征与服务映射中的区分模式进行比较。 选择与匹配服务请求的数据特征的区分模式相关联的服务。 服务请求的数据特征可以包括但是文档语言,文档类型,单词或字符的数量,图像的类型,图像的主题等等。