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1. 发明申请

WO2007041688A1 SYSTEMS, METHODS, AND SOFTWARE FOR IDENTIFYING RELEVANT LEGAL DOCUMENTS 审中-公开
标题翻译：用于识别相关法律文件的系统，方法和软件
公开(公告)号：WO2007041688A1
公开(公告)日：2007-04-12
申请号：PCT/US2006/039060
申请日：2006-10-04
申请人： THE THOMSON CORPORATION , AL-KOFAHI, Khalid , DAHN, Michael , DOZIER, Christopher, C. , SLAVEN, Patrick , ZIELAND, Tom
发明人： AL-KOFAHI, Khalid , DAHN, Michael , DOZIER, Christopher, C. , SLAVEN, Patrick , ZIELAND, Tom
IPC分类号： G06F17/30
CPC分类号： G06F17/30722 , G06F17/30011 , G06F17/30864 , G06Q50/18
摘要： To facilitate legal research, companies, such as Thomson West provide subscription-based online information-retrieval systems. Seeking to improve these and/or related systems, the present inventors devised, among other things, an exemplary legal research system that performs a conventional search to identify a set of starter documents and then leverages the metadata associated with these starter documents to identify another larger set of relevant documents. Documents in this alternate set are then scored using, for example, a learning machine and feature vectors that account for metadata relationships between the starter documents and alternate documents.
摘要翻译：为了方便法律研究，Thomson West等公司提供基于订阅的在线信息检索系统。为了改进这些和/或相关系统，本发明人设计了一种示例性法律研究系统，其执行常规搜索以识别一组起始文件，然后利用与这些起始文档相关联的元数据来识别另一较大的一套相关文件。然后使用例如学习机器和考虑起始文件和替代文件之间的元数据关系的特征向量对该备用集中的文档进行评分。

2. 发明申请

WO2009086311A1 SYSTEMS, METHODS, AND SOFTWARE FOR ENTITY RELATIONSHIP RESOLUTION 审中-公开
标题翻译：用于实体关系解决方案的系统，方法和软件
公开(公告)号：WO2009086311A1
公开(公告)日：2009-07-09
申请号：PCT/US2008/088038
申请日：2008-12-22
申请人： CONRAD, Jack, G. , DOZIER, Christopher, C. , VEERAMACHANENI, Harsha
发明人： CONRAD, Jack, G. , DOZIER, Christopher, C. , VEERAMACHANENI, Harsha
IPC分类号： G06F17/30
CPC分类号： G06F17/30345 , G06F17/30303 , G06F17/30545
摘要： To facilitate access to public records, the present inventors devised, among other things, an entity resolution system. The exemplary system includes master records database of 300 million entities, which is partitioned into multiple distinct portions. The exemplary system extracts entity information from input public records and constructs one or more blocking queries against specific portions of the master records database to identify one or more sets of candidate records. Feature vectors are defined for the candidate records and machine learning techniques, such as Support Vector Machine, are used to determine which of the candidate records from the master records database match the input public records. Candidate records that match are logically associated with public records, enabling ready access via direct or indirect queries.
摘要翻译：为了便利公开记录，本发明人尤其设计了实体解决系统。示例性系统包括3亿个实体的主记录数据库，其被划分为多个不同部分。示例性系统从输入的公共记录中提取实体信息，并针对主记录数据库的特定部分构建一个或多个阻塞查询，以识别候选记录的一个或多个集合。为候选记录定义特征向量，机器学习技术（如支持向量机）用于确定主记录数据库中哪些候选记录与输入的公共记录匹配。匹配的候选记录在逻辑上与公共记录相关联，可以通过直接或间接查询进行即时访问。

3. 发明申请

WO2009097558A3 FINANCIAL EVENT AND RELATIONSHIP EXTRACTION 审中-公开
标题翻译：财务事项和关系提取
公开(公告)号：WO2009097558A3
公开(公告)日：2009-12-10
申请号：PCT/US2009032695
申请日：2009-01-30
申请人： THOMSON REUTERS GLO RESOURCES , SCHILDER FRANK , DOZIER CHRISTOPHER , KONDADADI RAVI KUMAR
发明人： SCHILDER FRANK , DOZIER CHRISTOPHER , KONDADADI RAVI KUMAR
IPC分类号： G06F17/27 , G06F17/30
CPC分类号： G06F17/278 , G06Q40/00 , G06Q40/02
摘要： For automated text processing, the inventors devised, among other things, an exemplary system (100) that automatically extracts financial events from various unstructured text based sources, such as press releases and news articles. Extracted events, such as mergers & acquisitions, earnings guidance reports, and actual earnings announcements, are represented as structured data records which can be linked, searched, and displayed and used as a basis for controlling accessing to the source documents and other related financial documents for named entities.
摘要翻译：对于自动文本处理，发明人设计了自动从各种非结构化文本来源（例如新闻稿和新闻文章）提取财务事件的示例性系统（100）。提取的事件，如兼并收购，盈利指导报告和实际收益公告，都可以作为结构化数据记录，可以链接，搜索和显示，并用作控制对源文档和其他相关财务文件的访问的基础为命名实体。

4. 发明申请

WO2009097558A2 FINANCIAL EVENT AND RELATIONSHIP EXTRACTION 审中-公开
标题翻译：财务事项和关系提取
公开(公告)号：WO2009097558A2
公开(公告)日：2009-08-06
申请号：PCT/US2009/032695
申请日：2009-01-30
申请人： THOMSON REUTERS GLOBAL RESOURCES , SCHILDER, Frank , DOZIER, Christopher , KONDADADI, Ravi Kumar
发明人： SCHILDER, Frank , DOZIER, Christopher , KONDADADI, Ravi Kumar
IPC分类号： G06F17/27
CPC分类号： G06F17/278 , G06Q40/00 , G06Q40/02
摘要： For automated text processing, the inventors devised, among other things, an exemplary system that automatically extracts financial events from various unstructured text based sources, such as press releases and news articles. Extracted events, such as mergers & acquisitions, earnings guidance reports, and actual earnings announcements, are represented as structured data records which can be linked, searched, and displayed and used as a basis for controlling accessing to the source documents and other related financial documents for named entities.
摘要翻译：对于自动文本处理，发明人设计了一种自动从各种非结构化文本源（例如新闻稿和新闻文章）中提取金融事件的示例性系统。提取的事件，如兼并收购，盈利指导报告和实际收益公告，都可以作为结构化数据记录，可以链接，搜索和显示，并用作控制对源文档和其他相关财务文件的访问的基础为命名实体。

5. 发明申请

WO2007044350A3 SYSTEMS, METHODS, AND SOFTWARE FOR ASSESSING AMBIGUITY OF MEDICAL TERMS 审中-公开
公开(公告)号：WO2007044350A3
公开(公告)日：2007-04-19
申请号：PCT/US2006/038671
申请日：2006-10-04
申请人： THOMSON GLOBAL RESOURCES , DOZIER, Christopher, C. , CHAUDHARY, Mark , KONDADADI, Ravi
发明人： DOZIER, Christopher, C. , CHAUDHARY, Mark , KONDADADI, Ravi
IPC分类号： G06F17/30
摘要： Some known medical terms may function as non-medical terms depending on their particular context. Accordingly, the present inventors devised systems, methods, and software that facilitate determining whether a term that is found in a medical corpus is likely to be a medical term when found in another corpus. An exemplary embodiment receives a term and computes an ambiguity score based on language models for a medical and a non-medical corpus.

6. 发明申请

WO2007044350A2 SYSTEMS, METHODS, AND SOFTWARE FOR ASSESSING AMBIGUITY OF MEDICAL TERMS 审中-公开
标题翻译：用于评估医疗条件混淆的系统，方法和软件
公开(公告)号：WO2007044350A2
公开(公告)日：2007-04-19
申请号：PCT/US2006038671
申请日：2006-10-04
申请人： THOMSON GLOBAL RESOURCES , DOZIER CHRISTOPHER C , CHAUDHARY MARK , KONDADADI RAVI
发明人： DOZIER CHRISTOPHER C , CHAUDHARY MARK , KONDADADI RAVI
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/2785 , G06F17/30014 , G06F17/30286 , G06F17/30672 , G06F17/30867
摘要： Some known medical terms may function as non-medical terms depending on their particular context. Accordingly, the present inventors devised systems, methods, and software that facilitate determining whether a term that is found in a medical corpus is likely to be a medical term when found in another corpus. An exemplary embodiment receives a term and computes an ambiguity score based on language models for a medical and a non-medical corpus.
摘要翻译：一些已知的医学术语可能作为非医学术语取决于它们的特定上下文。因此，本发明人设计了便于确定在另一个语料库中找到的医学语料库中找到的术语是否可能是医学术语的系统，方法和软件。示例性实施例接收术语并且基于医学和非医学语料库的语言模型来计算歧义分数。

7. 发明申请

WO2003060767A3 SYSTEM, METHOD AND SOFTWARE FOR AUTOMATIC HYPERLINKING OF PERSONS’ NAMES IN DOCUMENTS TO PROFESSIONAL DIRECTORIES 审中-公开
公开(公告)号：WO2003060767A3
公开(公告)日：2003-07-24
申请号：PCT/US2002/041144
申请日：2002-12-20
申请人： WEST PUBLISHING COMPANY, DBA WEST GROUP , DOZIER, Christopher, C.
发明人： DOZIER, Christopher, C.
IPC分类号： G06F17/30
摘要： Hyperlinking or associating documents to other documents based on the names of people in the documents has become more desirable. Although there is an automated system for installing such hyperlinks into judicial opinions, the system is not generally applicable to other types of names and documents, nor well suited to determine hyperlinks for names that might refer to two or more similarly named persons. Accordingly, the inventor devised systems, methods, and software that facilitate hyperlinking names in documents, regardless of type. One exemplary system includes a descriptor module and a linking module. The descriptor module develops descriptive patterns for selecting co-occurent document information that is useful in recognizing associations between names and professional classes. The linking module tags names in an input document, extracts co-occurent information using the descriptive patterns, and uses a Bayesian inference network that processes a (non-inverse-document-frequency) name-rarity score for each name along with the name and selected co-occurent document information to determine appropriate hyperlinks to other documents, such as entries in professional directories.

8. 发明申请

WO2009086312A1 ENTITY, EVENT, AND RELATIONSHIP EXTRACTION 审中-公开
标题翻译：实体，事件和关系提取
公开(公告)号：WO2009086312A1
公开(公告)日：2009-07-09
申请号：PCT/US2008/088040
申请日：2008-12-22
申请人： KONDADADI, Ravi, Kumar , LIGHT, Marc , SCHILDER, Frank , DOZIER, Christopher, C.
发明人： LIGHT, Marc , SCHILDER, Frank , DOZIER, Christopher, C.
IPC分类号： G06F17/30 , G06F17/27
CPC分类号： G06F17/30734 , G06F17/278 , G06F17/30666 , G06F17/30707
摘要： For automated text processing, the inventors devised, among other things, an exemplary system that includes an entity tagger (110), an entity, resolver (120), a text segment classifier (310), and a relationship extractor (320). The entity tagger receives an input text segment, and tags named entities with the segment as being a person, company, or place. The entity resolver accesses authority files, and associates the persons and companies named in the text segment with specific entries in the files. The text segment classifier determines whether the text segment includes a relationship event, such as job-change event or merger and acquisition event, and if an event is detected, the relationship extractor determines the event role of entities named in the segment. For example, the extractor determines for a merger and acquisition event, which named company was the acquirer and which was acquired.
摘要翻译：对于自动文本处理，发明人设计了包括实体标签器（110），实体，解析器（120），文本段分类器（310）和关系提取器（320）的示例性系统。实体标签器接收输入文本段，并将该段的标签命名为人，公司或地点。实体解析器访问权限文件，并将文本段中命名的人员和公司与文件中的特定条目相关联。文本段分类器确定文本段是否包括关系事件，例如作业更改事件或合并和获取事件，并且如果检测到事件，则关系提取器确定段中命名的实体的事件角色。例如，提取者确定合并和收购事件，哪个命名公司是收购方，并且被收购。

9. 发明申请

WO2009097558A9 FINANCIAL EVENT AND RELATIONSHIP EXTRACTION 审中-公开
标题翻译：财务事项和关系提取
公开(公告)号：WO2009097558A9
公开(公告)日：2010-01-28
申请号：PCT/US2009032695
申请日：2009-01-30
申请人： THOMSON REUTERS GLO RESOURCES , SCHILDER FRANK , DOZIER CHRISTOPHER , KONDADADI RAVI KUMAR
发明人： SCHILDER FRANK , DOZIER CHRISTOPHER , KONDADADI RAVI KUMAR
IPC分类号： G06F17/27 , G06F17/30
CPC分类号： G06F17/278 , G06Q40/00 , G06Q40/02
摘要： For automated text processing, the inventors devised, among other things, an exemplary system (100) that automatically extracts financial events from various unstructured text based sources, such as press releases and news articles. Extracted events, such as mergers & acquisitions, earnings guidance reports, and actual earnings announcements, are represented as structured data records which can be linked, searched, and displayed and used as a basis for controlling accessing to the source documents and other related financial documents for named entities.
摘要翻译：对于自动文本处理，发明人设计了自动从各种非结构化文本来源（例如新闻稿和新闻文章）提取财务事件的示例性系统（100）。提取的事件，如兼并收购，盈利指导报告和实际收益公告，都可以作为结构化数据记录，可以链接，搜索和显示，并用作控制对源文档和其他相关财务文件的访问的基础为命名实体。

10. 发明申请

WO2003060767A2 SYSTEMS, METHODS AND SOFTWARE FOR HYPERLINKING NAMES 审中-公开
标题翻译：系统，方法和软件用于超亮名称
公开(公告)号：WO2003060767A2
公开(公告)日：2003-07-24
申请号：PCT/US2002/041144
申请日：2002-12-20
申请人： WEST PUBLISHING COMPANY, DBA WEST GROUP , DOZIER, Christopher, C.
发明人： DOZIER, Christopher, C.
IPC分类号： G06F17/30
CPC分类号： G06F17/30014 , G06F17/30672 , G06F17/30882 , Y10S707/99932
摘要： Hyperlinking or associating documents to other documents based on the names of people in the documents has become more desirable. Although there is an automated system for installing such hyperlinks into judicial opinions, the system is not generally applicable to other types of names and documents, nor well suited to determine hyperlinks for names that might refer to two or more similarly named persons. Accordingly, the inventor devised systems, methods, and software that facilitate hyperlinking names in documents, regardless of type. One exemplary system includes a descriptor module and a linking module. The descriptor module develops descriptive patterns for selecting co-occurent document information that is useful in recognizing associations between names and professional classes. The linking module tags names in an input document, extracts co-occurent information using the descriptive patterns, and uses a Bayesian inference network that processes a (non-inverse-document-frequency) name-rarity score for each name along with the name and selected co-occurent document information to determine appropriate hyperlinks to other documents, such as entries in professional directories.
摘要翻译：基于文件中的人员名称将文档超链接或关联到其他文档已变得更加可取。虽然有一个将这种超级链接安装到司法意见中的自动化系统，但该系统通常不适用于其他类型的名称和文件，也不适合确定可能涉及两个或多个类似命名的人员的名称的超链接。因此，发明人设计出促进文件中的超链接名称的系统，方法和软件，而不管类型如何。一个示例性系统包括描述符模块和链接模块。描述符模块开发描述性模式，用于选择可识别名称和专业类之间的关联的共同文档信息。链接模块在输入文档中标记名称，使用描述模式提取合作信息，并使用贝叶斯推理网络处理每个名称的非逆文档频率名称 - 稀有度得分以及名称和选择的共同确定文档信息，以确定适用于其他文档的超链接，如专业目录中的条目。

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