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1. 发明授权

US09268878B2 Entity category extraction for an entity that is the subject of pre-labeled data 有权
标题翻译：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
申请人： Michael Bieniosek , Franco Salvetti , Giovanni Lorenzo Thione
发明人： Michael Bieniosek , Franco Salvetti , Giovanni Lorenzo Thione
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。

2. 发明申请

US20120150861A1 HIGHLIGHTING KNOWN ANSWERS IN SEARCH RESULTS 审中-公开
标题翻译：搜索结果中的亮点已知答案
公开(公告)号：US20120150861A1
公开(公告)日：2012-06-14
申请号：US12965326
申请日：2010-12-10
申请人： GIOVANNI THIONE , FRANCO SALVETTI , MICHAEL BIENIOSEK , DAVID AHN , RICCARDO TURCHETTO , MAX LANSING , ALOK KUMAR AGARWAL
发明人： GIOVANNI THIONE , FRANCO SALVETTI , MICHAEL BIENIOSEK , DAVID AHN , RICCARDO TURCHETTO , MAX LANSING , ALOK KUMAR AGARWAL
IPC分类号： G06F17/30
CPC分类号： G06F16/9038
摘要： Answers to search queries are identified and highlighted in search result snippets for documents containing the answers. When a user submits a search query to a search engine, the search engine may query a search index to identify a set of documents as relevant search results for the search query. Additionally, an answer data store may be queried to determine if there is a short answer to the search query. If an answer is found, the answer may be used when generating search result snippets. As such, the search result snippets for documents containing the answer may include the answer. The answer may also be highlighted in the search result snippets.
摘要翻译：搜索查询的答案在包含答案的文档的搜索结果片段中被识别和突出显示。当用户向搜索引擎提交搜索查询时，搜索引擎可以查询搜索索引以将一组文档标识为搜索查询的相关搜索结果。此外，可以查询答案数据存储以确定搜索查询是否存在简短的答案。如果找到答案，则可以在生成搜索结果片段时使用答案。因此，包含答案的文档的搜索结果片段可能包括答案。答案也可能在搜索结果片段中突出显示。

3. 发明申请

US20110314018A1 ENTITY CATEGORY DETERMINATION 有权
标题翻译：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
申请人： Michael Bieniosek , Franco Salvetti , Giovanni Lorenzo Thione
发明人： Michael Bieniosek , Franco Salvetti , Giovanni Lorenzo Thione
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。

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