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    • 1. 发明申请
    • ENTITY CATEGORY DETERMINATION
    • 实体类别确定
    • US20110314018A1
    • 2011-12-22
    • US12820349
    • 2010-06-22
    • Michael BieniosekFranco SalvettiGiovanni Lorenzo Thione
    • Michael BieniosekFranco SalvettiGiovanni Lorenzo Thione
    • G06F17/30
    • G06F17/30943G06F17/30707
    • 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.
    • 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。
    • 2. 发明授权
    • Entity category extraction for an entity that is the subject of pre-labeled data
    • 作为预标记数据主体的实体的实体类别提取
    • US09268878B2
    • 2016-02-23
    • US12820349
    • 2010-06-22
    • Michael BieniosekFranco SalvettiGiovanni Lorenzo Thione
    • Michael BieniosekFranco SalvettiGiovanni Lorenzo Thione
    • G06F17/30
    • G06F17/30943G06F17/30707
    • 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.
    • 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。
    • 3. 发明申请
    • Coreference Resolution In An Ambiguity-Sensitive Natural Language Processing System
    • 一个歧义敏感的自然语言处理系统中的核心分辨率
    • US20090076799A1
    • 2009-03-19
    • US12200962
    • 2008-08-29
    • Richard CrouchMartin Henk Van den BergFranco SalvettiGiovanni Lorenzo ThioneDavid Ahn
    • Richard CrouchMartin Henk Van den BergFranco SalvettiGiovanni Lorenzo ThioneDavid Ahn
    • G06F17/27
    • G06F17/2765G06F17/2785
    • 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.
    • 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。
    • 7. 发明授权
    • Coreference resolution in an ambiguity-sensitive natural language processing system
    • 歧义敏感自然语言处理系统中的核心分辨率
    • US08712758B2
    • 2014-04-29
    • US12200962
    • 2008-08-29
    • Richard CrouchMartin Henk Van den BergFranco SalvettiGiovanni Lorenzo ThioneDavid Ahn
    • Richard CrouchMartin Henk Van den BergFranco SalvettiGiovanni Lorenzo ThioneDavid Ahn
    • G06F17/20G06F17/27
    • G06F17/2765G06F17/2785
    • 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.
    • 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。