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1. 发明申请

US20140012837A1 Apparatus and Method for Single Action Approval of Legally Categorized Documents 有权
标题翻译：法律分类文件的单一动作批准的装置和方法
公开(公告)号：US20140012837A1
公开(公告)日：2014-01-09
申请号：US13973920
申请日：2013-08-22
申请人： Jan Puzicha , Robert Tennant
发明人： Jan Puzicha , Robert Tennant
IPC分类号： G06F17/30
CPC分类号： G06F17/30554 , G06F17/30705
摘要： A computer readable storage medium includes executable instructions to display a document with legal categorizations. The legal categorizations are accepted and invoke a subsequent document for viewing with a single input action. The subsequent document is displayed. Revised legal categorizations are received. The revised legal categorizations are accepted and invoke an additional document for viewing with a single input action.
摘要翻译：计算机可读存储介质包括用法律分类来显示文档的可执行指令。法律分类被接受，并通过单一输入操作调用随后的文档进行查看。随后显示文档。收到修订的法律分类。修改的法律分类被接受，并通过单一输入操作调用附加文档进行查看。

2. 发明授权

US09460164B2 Apparatus and method for single action approval of legally categorized documents 有权
标题翻译：法律分类文件的单一行动审批的装置和方法
公开(公告)号：US09460164B2
公开(公告)日：2016-10-04
申请号：US13973920
申请日：2013-08-22
申请人： Jan Puzicha , Robert Tennant
发明人： Jan Puzicha , Robert Tennant
IPC分类号： G06F17/30
CPC分类号： G06F17/30554 , G06F17/30705
摘要： A computer readable storage medium includes executable instructions to display a document with legal categorizations. The legal categorizations are accepted and invoke a subsequent document for viewing with a single input action. The subsequent document is displayed. Revised legal categorizations are received. The revised legal categorizations are accepted and invoke an additional document for viewing with a single input action.
摘要翻译：计算机可读存储介质包括用法律分类来显示文档的可执行指令。法律分类被接受，并通过单一输入操作调用随后的文档进行查看。随后显示文档。收到修订的法律分类。修改的法律分类被接受，并通过单一输入操作调用附加文档进行查看。

3. 发明授权

US08589419B2 System and method for establishing relevance of objects in an enterprise system 有权
标题翻译：在企业系统中建立对象的相关性的系统和方法
公开(公告)号：US08589419B2
公开(公告)日：2013-11-19
申请号：US13332306
申请日：2011-12-20
申请人： Jan Puzicha , Thomas Hofmann
发明人： Jan Puzicha , Thomas Hofmann
IPC分类号： G06F17/30
CPC分类号： G06F17/30017 , G06F17/30979
摘要： A system, method, and computer program for establishing relevance of objects in an enterprise system is provided. One or more objects are assigned to content associated with an enterprise system. One or more query terms are received from a user. A preliminary relevance of the one or more objects is determined based on the query terms. Ratings are assigned to the one or more objects based on the preliminary relevance. An overall relevance of the one or more objects is established based on the ratings.
摘要翻译：提供了一种用于在企业系统中建立对象的相关性的系统，方法和计算机程序。将一个或多个对象分配给与企业系统相关联的内容。从用户接收一个或多个查询词。基于查询项来确定一个或多个对象的初步相关性。基于初步相关性将评级分配给一个或多个对象。基于评级建立一个或多个对象的总体相关性。

4. 发明申请

US20130132394A1 Integration and Combination of Random Sampling and Document Batching 审中-公开
标题翻译：随机抽样与文献分类的整合与组合
公开(公告)号：US20130132394A1
公开(公告)日：2013-05-23
申请号：US13745617
申请日：2013-01-18
申请人： Jan Puzicha
发明人： Jan Puzicha
IPC分类号： G06F17/30
CPC分类号： G06F16/93 , G06Q10/103 , G06Q50/18
摘要： Methods and systems of integrated batching and random sampling of documents for enhanced functionality and quality control, such as validation, within a document review process are provided herein. According to various embodiments, a batching request may be received and may include a population size that corresponds to a total amount of documents available for sampling. The batching request may also include an acceptable margin of error. A random sample size may be calculated based on the batching request, and then a subset of documents corresponding to the random sample size may be selected from the total amount of documents available for sampling. The subset of documents may be grouped into one or more batches, and the one or more batches may be assigned to one or more review nodes.
摘要翻译：本文提供了在文档审查过程中对增强功能和质量控制（如验证）的文档的集成批处理和随机抽样的方法和系统。根据各种实施例，可以接收批量请求，并且可以包括对应于可用于采样的文档的总量的总体大小。批处理请求也可能包括可接受的误差范围。可以基于批量请求计算随机样本大小，然后可以从可用于采样的文档的总量中选择与随机样本大小相对应的文档子集。文档的子集可以被分组成一个或多个批次，并且一个或多个批次可以被分配给一个或多个审查节点。

5. 发明授权

US09595005B1 Systems and methods for predictive coding 有权
标题翻译：预测编码的系统和方法
公开(公告)号：US09595005B1
公开(公告)日：2017-03-14
申请号：US13848023
申请日：2013-03-20
申请人： Jan Puzicha , Steve Vranas
发明人： Jan Puzicha , Steve Vranas
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06 , G06N5/04
CPC分类号： G06N99/005 , G06F17/30011 , G06N5/04 , G06N5/048 , G06N7/005
摘要： Systems and methods for analyzing documents are provided herein. A plurality of documents and user input are received via a computing device. The user input includes hard coding of a subset of the plurality of documents, based on an identified subject or category. Instructions stored in memory are executed by a processor to generate an initial control set, analyze the initial control set to determine at least one seed set parameter, automatically code a first portion of the plurality of documents based on the initial control set and the seed set parameter associated with the identified subject or category, analyze the first portion of the plurality of documents by applying an adaptive identification cycle, and retrieve a second portion of the plurality of documents based on a result of the application of the adaptive identification cycle test on the first portion of the plurality of documents.
摘要翻译：本文提供了分析文档的系统和方法。通过计算设备接收多个文档和用户输入。用户输入包括基于识别的主题或类别的多个文档的子集的硬编码。存储在存储器中的指令由处理器执行以产生初始控制集，分析初始控制集以确定至少一个种子集参数，基于初始控制集和种子集自动地编码多个文档的第一部分参数与所识别的对象或类别相关联，通过应用自适应识别周期来分析多个文档的第一部分，并且基于对自适应识别周期测试的应用的结果来检索多个文档的第二部分多个文档的第一部分。

6. 发明授权

US08533148B1 Document relevancy analysis within machine learning systems including determining closest cosine distances of training examples 有权
标题翻译：机器学习系统中的文档相关性分析，包括确定训练样本的最近余弦距离
公开(公告)号：US08533148B1
公开(公告)日：2013-09-10
申请号：US13632943
申请日：2012-10-01
申请人： Christian Feuersänger , Dietrich Wettschereck , Jan Puzicha
发明人： Christian Feuersänger , Dietrich Wettschereck , Jan Puzicha
IPC分类号： G06F15/00 , G06F15/18
CPC分类号： G06F17/3053 , G06F17/30687 , G06F17/30705 , G06N99/005
摘要： Systems and methods that quantify document relevance for a document relative to a training corpus and select a best match or best matches are provided herein. Methods may include generating an example-based explanation for relevancy of a document to a training corpus by executing a support vector machine classifier, the support vector machine classifier performing a centroid classification of a relevant document in a term frequency-inverse document frequency features space relative to training examples in a training corpus, and generating an example-based explanation by selecting a best match for the relevant document from the training examples based upon the centroid classification. Determining the training example having the closest cosine distance to the relevant document includes ranking the training examples by stretching the internal best match scores for the training examples linearly to cover a complete unit interval.
摘要翻译：本文提供了量化文档相对于训练语料库的文档相关性并选择最佳匹配或最佳匹配的系统和方法。方法可以包括通过执行支持向量机分类器来产生对文档与训练语料库的相关性的基于示例的解释，所述支持向量机分类器在术语频率逆文档频率特征空间相对位置中执行相关文档的质心分类在训练语料库中训练示例，并且基于质心分类从训练示例中选择相关文档的最佳匹配来生成基于示例的解释。确定具有与相关文档最近的余弦距离的训练示例包括通过线性地拉伸训练示例的内部最佳匹配分数来覆盖训练样本来对整个单位间隔进行排序。

7. 发明授权

US08024333B1 System and method for providing information navigation and filtration 有权
标题翻译：提供信息导航和过滤的系统和方法
公开(公告)号：US08024333B1
公开(公告)日：2011-09-20
申请号：US12641118
申请日：2009-12-17
申请人： Jan Puzicha , Thomas Hofmann
发明人： Jan Puzicha , Thomas Hofmann
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30011 , G06F17/3053
摘要： A system and method for information navigation and filtration is provided. One or more query terms are received from a user. A preliminary relevance of one or more objects associated with an enterprise system is determined based on the query terms. The preliminary relevance may be propagated between objects. At least one rating is assigned to the one or more objects based on the preliminary relevance. An overall relevance of the one or more objects is established based on the at least one rating. The one or more objects are ranked according to the overall relevance. Data is provided as search results comprised of the one or more objects according to the ranking to the user. The search results may then be filtered based on at least one selected, dynamically generated filter. The filtered search results may be dynamically generated and provided to the user.
摘要翻译：提供了一种用于信息导航和过滤的系统和方法。从用户接收一个或多个查询词。基于查询条件确定与企业系统相关联的一个或多个对象的初步相关性。对象之间可能会传播初步的相关性。基于初步相关性，至少一个等级被分配给一个或多个对象。基于至少一个评级建立一个或多个对象的整体相关性。一个或多个对象根据整体相关性进行排名。根据用户的排名将数据提供为由一个或多个对象组成的搜索结果。然后可以基于至少一个选择的动态生成的过滤器来过滤搜索结果。过滤的搜索结果可以被动态地生成并提供给用户。

8. 发明申请

US20140095493A1 DOCUMENT RELEVANCY ANALYSIS WITHIN MACHINE LEARNING SYSTEMS 审中-公开
标题翻译：在机器学习系统中的文档相关分析
公开(公告)号：US20140095493A1
公开(公告)日：2014-04-03
申请号：US13952501
申请日：2013-07-26
申请人： Christian Feuersänger , Dietrich Wettschereck , Jan Puzicha
发明人： Christian Feuersänger , Dietrich Wettschereck , Jan Puzicha
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30687 , G06F17/30705 , G06N99/005
摘要： Systems and methods that quantify document relevance for a document relative to a training corpus and select a best match or best matches are provided herein. Methods may include generating an example-based explanation for relevancy of a document to a training corpus by executing a support vector machine classifier, the support vector machine classifier performing a centroid classification of a relevant document in a term frequency-inverse document frequency features space relative to training examples in a training corpus, and generating an example-based explanation by selecting a best match for the relevant document from the training examples based upon the centroid classification.
摘要翻译：本文提供了量化文档相对于训练语料库的文档相关性并选择最佳匹配或最佳匹配的系统和方法。方法可以包括通过执行支持向量机分类器来产生对文档与训练语料库的相关性的基于示例的解释，所述支持向量机分类器在术语频率逆文档频率特征空间相对位置中执行相关文档的质心分类在训练语料库中训练示例，并且基于质心分类从训练示例中选择相关文档的最佳匹配来生成基于示例的解释。

9. 发明授权

US08489538B1 Systems and methods for predictive coding 有权
标题翻译：预测编码的系统和方法
公开(公告)号：US08489538B1
公开(公告)日：2013-07-16
申请号：US13624854
申请日：2012-09-21
申请人： Jan Puzicha , Steve Vranas
发明人： Jan Puzicha , Steve Vranas
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06
CPC分类号： G06N99/005 , G06F17/30011 , G06N5/04 , G06N5/048 , G06N7/005
摘要： Systems and methods for analyzing documents are provided herein. A plurality of documents and user input are received via a computing device. The user input includes hard coding of a subset of the plurality of documents, based on an identified subject or category. Instructions stored in memory are executed by a processor to generate an initial control set, analyze the initial control set to determine at least one seed set parameter, automatically code a first portion of the plurality of documents based on the initial control set and the seed set parameter associated with the identified subject or category, analyze the first portion of the plurality of documents by applying an adaptive identification cycle, and retrieve a second portion of the plurality of documents based on a result of the application of the adaptive identification cycle test on the first portion of the plurality of documents.
摘要翻译：本文提供了分析文档的系统和方法。通过计算设备接收多个文档和用户输入。用户输入包括基于识别的主题或类别的多个文档的子集的硬编码。存储在存储器中的指令由处理器执行以产生初始控制集，分析初始控制集以确定至少一个种子集参数，基于初始控制集和种子集自动地编码多个文档的第一部分参数与所识别的对象或类别相关联，通过应用自适应识别周期来分析多个文档的第一部分，并且基于对自适应识别周期测试的应用的结果来检索多个文档的第二部分多个文档的第一部分。

10. 发明授权

US08429159B1 System and method for providing information navigation and filtration 有权
公开(公告)号：US08429159B1
公开(公告)日：2013-04-23
申请号：US13211266
申请日：2011-08-16
申请人： Jan Puzicha , Thomas Hofmann
发明人： Jan Puzicha , Thomas Hofmann
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30011 , G06F17/3053
摘要： A system and method for information navigation and filtration is provided. One or more query terms are received from a user. A preliminary relevance of one or more objects associated with an enterprise system is determined based on the query terms. The preliminary relevance may be propagated between objects. At least one rating is assigned to the one or more objects based on the preliminary relevance. An overall relevance of the one or more objects is established based on the at least one rating. The one or more objects are ranked according to the overall relevance. Data is provided as search results comprised of the one or more objects according to the ranking to the user. The search results may then be filtered based on at least one selected, dynamically generated filter. The filtered search results may be dynamically generated and provided to the user.

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