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1. 发明申请

US20110131244A1 EXTRACTION OF CERTAIN TYPES OF ENTITIES 审中-公开
标题翻译：提取某些类型的实体
公开(公告)号：US20110131244A1
公开(公告)日：2011-06-02
申请号：US12626905
申请日：2009-11-29
申请人： Amir J. Padovitz , Matthew F. Hurst
发明人： Amir J. Padovitz , Matthew F. Hurst
IPC分类号： G06F17/30 , G06F15/18
CPC分类号： G06F16/367 , G06F16/355
摘要： Certain types of entities may be extracted from a document. In one example, the entities to be recognized are cultural entities, such as the names of movies, video games, books, etc. For each such entity, a concept graph may be built that shows the relationship between the entity itself and other entities, such as the relationship between a movie and the actor(s) who act in the movie. When a candidate entity name is detected in the document, the concept graph may be used to look for other entities that appear in the context of the candidate entity. The presence of related entities in the context of the candidate may be used to disambiguate the meaning of the candidate. For example, a common word like “up” might be recognized as the name of a movie if the names of actors or characters in that movie appear near the word “up”.
摘要翻译：可以从文档中提取某些类型的实体。在一个示例中，要被识别的实体是文化实体，诸如电影，视频游戏，书籍等的名称。对于每个这样的实体，可以构建示出实体本身和其他实体之间的关系的概念图，例如电影和在电影中扮演的演员之间的关系。当在文档中检测到候选实体名称时，概念图可以用于查找出现在候选实体的上下文中的其他实体。在候选人的上下文中存在相关实体可以用来消除候选人的意思。例如，如果该电影中的演员或角色的名字出现在“up”字样附近，则可能将诸如“up”的常用单词识别为电影的名称。

2. 发明授权

US08140567B2 Measuring entity extraction complexity 有权
标题翻译：测量实体提取复杂度
公开(公告)号：US08140567B2
公开(公告)日：2012-03-20
申请号：US12759513
申请日：2010-04-13
申请人： Amir J. Padovitz , Bala Meenakshi Nagarajan
发明人： Amir J. Padovitz , Bala Meenakshi Nagarajan
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30011 , G06F17/30705 , G06F17/30707
摘要： A named entity input is received and a target sense for which the named entity input is to be extracted from a set of documents is identified. An extraction complexity feature is generated based on the named entity input, the target sense, and the set of documents. The extraction complexity feature indicates how difficult or complex it is deemed to be to identify the named entity input for the target sense in the set of documents.
摘要翻译：接收到命名实体输入，并且识别从一组文档中提取命名实体输入的目标感测。基于命名实体输入，目标感觉和文档集生成提取复杂度特征。提取复杂度特征指示在文档集中识别目标感觉的命名实体输入被认为是多么困难或复杂。

3. 发明申请

US20110252034A1 MEASURING ENTITY EXTRACTION COMPLEXITY 有权
标题翻译：测量实体提取复杂度
公开(公告)号：US20110252034A1
公开(公告)日：2011-10-13
申请号：US12759513
申请日：2010-04-13
申请人： Amir J. Padovitz , Bala Meenakshi Nagarajan
发明人： Amir J. Padovitz , Bala Meenakshi Nagarajan
IPC分类号： G06F17/30
CPC分类号： G06F17/30011 , G06F17/30705 , G06F17/30707
摘要： A named entity input is received and a target sense for which the named entity input is to be extracted from a set of documents is identified. An extraction complexity feature is generated based on the named entity input, the target sense, and the set of documents. The extraction complexity feature indicates how difficult or complex it is deemed to be to identify the named entity input for the target sense in the set of documents.
摘要翻译：接收到命名实体输入，并且识别从一组文档中提取命名实体输入的目标感测。基于命名实体输入，目标感觉和文档集生成提取复杂度特征。提取复杂度特征指示在文档集中识别目标感觉的命名实体输入被认为是多么困难或复杂。

4. 发明授权

US09128933B2 Measuring entity extraction complexity 有权
标题翻译：测量实体提取复杂度
公开(公告)号：US09128933B2
公开(公告)日：2015-09-08
申请号：US13370965
申请日：2012-02-10
申请人： Amir J. Padovitz , Bala Meenakshi Nagarajan
发明人： Amir J. Padovitz , Bala Meenakshi Nagarajan
IPC分类号： G06F17/30
CPC分类号： G06F17/30011 , G06F17/30705 , G06F17/30707
摘要： A named entity input is received and a target sense for which the named entity input is to be extracted from a set of documents is identified. An extraction complexity feature is generated based on the named entity input, the target sense, and the set of documents. The extraction complexity feature indicates how difficult or complex it is deemed to be to identify the named entity input for the target sense in the set of documents.
摘要翻译：接收到命名实体输入，并且识别从一组文档中提取命名实体输入的目标感测。基于命名实体输入，目标感觉和文档集生成提取复杂度特征。提取复杂度特征指示在文档集中识别目标感觉的命名实体输入被认为是多么困难或复杂。

5. 发明申请

US20100228744A1 INTELLIGENT ENHANCEMENT OF A SEARCH RESULT SNIPPET 有权
标题翻译：搜索结果SNIPPET的智能增强
公开(公告)号：US20100228744A1
公开(公告)日：2010-09-09
申请号：US12392015
申请日：2009-02-24
申请人： Nicholas Eric Craswell , Nitin Agrawal , Amir J. Padovitz , Song Zhou
发明人： Nicholas Eric Craswell , Nitin Agrawal , Amir J. Padovitz , Song Zhou
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30905
摘要： A method, system, and medium are provided for enhancing a search result snippet that is associated with a URL. Potentially descriptive terms of the URL are identified by reconciling multiple sources of terms related to the URL. One aspect includes comparing search terms of historically relevant queries to anchor text for the URL. The search result snippet might be intelligently enhanced by causing common terms to be visibly distinguished when the snippet is displayed.
摘要翻译：提供了一种方法，系统和介质，用于增强与URL相关联的搜索结果片段。通过协调与URL相关的多个术语来源来识别URL的潜在描述性术语。一个方面包括将历史相关查询的搜索条件与URL的锚文本进行比较。搜索结果代码段可能会通过在显示代码段时明显区分通用术语来智能地增强。

6. 发明申请

US20080313111A1 LARGE SCALE ITEM REPRESENTATION MATCHING 有权
标题翻译：大规模项目代表匹配
公开(公告)号：US20080313111A1
公开(公告)日：2008-12-18
申请号：US11763200
申请日：2007-06-14
申请人： AMIR J. PADOVITZ , DIMA SUPONAU , WEI YU , MIKHAIL BILENKO
发明人： AMIR J. PADOVITZ , DIMA SUPONAU , WEI YU , MIKHAIL BILENKO
IPC分类号： G06N7/02 , G06F15/18
CPC分类号： G06F17/30542 , G06F17/30489 , G06K9/6857 , Y10S707/917
摘要： A two-phase process quickly and accurately identifies representations of the same items within a collection of item representations. In the first phase, referred to as a “blocking phase,” frequency information indicating the frequency with which terms appear within the collection of item representations is used to quickly identify “candidate pairs” (i.e., pairs of item representations that have a relatively high probability of matching). The blocking phase results in a reduced subset of the data for further analysis during the second phase. In the second phase, referred to as a “matching phase,” the candidate pairs are analyzed using fuzzy matching functions to accurately identify “matching pairs” (i.e., representations of the same items).
摘要翻译：两阶段过程快速准确地识别项目表示集合中相同项目的表示。在第一阶段中，被称为“阻塞阶段”的频率信息被用于快速识别“候选对”（即，具有相对较高的项目表示的对）匹配的概率）。阻塞阶段导致在第二阶段期间用于进一步分析的数据的子集减少。在称为“匹配阶段”的第二阶段中，使用模糊匹配函数分析候选对以精确地识别“匹配对”（即，相同项目的表示）。

7. 发明授权

US08250053B2 Intelligent enhancement of a search result snippet 有权
标题翻译：智能增强搜索结果片段
公开(公告)号：US08250053B2
公开(公告)日：2012-08-21
申请号：US12392015
申请日：2009-02-24
申请人： Nicholas Eric Craswell , Nitin Agrawal , Amir J. Padovitz , Song Zhou
发明人： Nicholas Eric Craswell , Nitin Agrawal , Amir J. Padovitz , Song Zhou
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30905
摘要： A method, system, and medium are provided for enhancing a search result snippet that is associated with a URL. Potentially descriptive terms of the URL are identified by reconciling multiple sources of terms related to the URL. One aspect includes comparing search terms of historically relevant queries to anchor text for the URL. The search result snippet might be intelligently enhanced by causing common terms to be visibly distinguished when the snippet is displayed.
摘要翻译：提供了一种方法，系统和介质，用于增强与URL相关联的搜索结果片段。通过协调与URL相关的多个术语来源来识别URL的潜在描述性术语。一个方面包括将历史相关查询的搜索条件与URL的锚文本进行比较。搜索结果代码段可能会通过在显示代码段时明显区分通用术语来智能地增强。

8. 发明申请

US20120143869A1 MEASURING ENTITY EXTRACTION COMPLEXITY 有权
标题翻译：测量实体提取复杂度
公开(公告)号：US20120143869A1
公开(公告)日：2012-06-07
申请号：US13370965
申请日：2012-02-10
申请人： Amir J. Padovitz , Bala Meenakshi Nagarajan
发明人： Amir J. Padovitz , Bala Meenakshi Nagarajan
IPC分类号： G06F17/30
CPC分类号： G06F17/30011 , G06F17/30705 , G06F17/30707
摘要： A named entity input is received and a target sense for which the named entity input is to be extracted from a set of documents is identified. An extraction complexity feature is generated based on the named entity input, the target sense, and the set of documents. The extraction complexity feature indicates how difficult or complex it is deemed to be to identify the named entity input for the target sense in the set of documents.
摘要翻译：接收到命名实体输入，并且识别从一组文档中提取命名实体输入的目标感测。基于命名实体输入，目标感觉和文档集生成提取复杂度特征。提取复杂性特征指示在文档集中识别目标感觉的命名实体输入被认为是多么困难或复杂。

9. 发明授权

US07818278B2 Large scale item representation matching 有权
标题翻译：大型项目表示匹配
公开(公告)号：US07818278B2
公开(公告)日：2010-10-19
申请号：US11763200
申请日：2007-06-14
申请人： Amir J. Padovitz , Dima Suponau , Wei Yu , Mikhail Bilenko
发明人： Amir J. Padovitz , Dima Suponau , Wei Yu , Mikhail Bilenko
IPC分类号： G06N5/02
CPC分类号： G06F17/30542 , G06F17/30489 , G06K9/6857 , Y10S707/917
摘要： A two-phase process quickly and accurately identifies representations of the same items within a collection of item representations. In the first phase, referred to as a “blocking phase,” frequency information indicating the frequency with which terms appear within the collection of item representations is used to quickly identify “candidate pairs” (i.e., pairs of item representations that have a relatively high probability of matching). The blocking phase results in a reduced subset of the data for further analysis during the second phase. In the second phase, referred to as a “matching phase,” the candidate pairs are analyzed using fuzzy matching functions to accurately identify “matching pairs” (i.e., representations of the same items).
摘要翻译：两阶段过程快速准确地识别项目表示集合中相同项目的表示。在第一阶段中，被称为“阻塞阶段”的频率信息被用于快速识别“候选对”（即，具有相对较高的项目表示的对）匹配的概率）。阻塞阶段导致在第二阶段期间用于进一步分析的数据的子集减少。在称为“匹配阶段”的第二阶段中，使用模糊匹配函数分析候选对以精确地识别“匹配对”（即，相同项目的表示）。

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