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1. 发明申请

US20100195909A1 SYSTEM AND METHOD FOR EXTRACTING INFORMATION FROM TEXT USING TEXT ANNOTATION AND FACT EXTRACTION 有权
标题翻译：从文本提取和文本提取中提取信息的系统和方法
公开(公告)号：US20100195909A1
公开(公告)日：2010-08-05
申请号：US12689629
申请日：2010-01-19
申请人： Mark D. Wasson , James S. Wiltshire, JR. , Donald Loritz , Steve Xu , Shian-Jung Dick Chen , Valentina Templar , Eleni Koutsomitopoulou
发明人： Mark D. Wasson , James S. Wiltshire, JR. , Donald Loritz , Steve Xu , Shian-Jung Dick Chen , Valentina Templar , Eleni Koutsomitopoulou
IPC分类号： G06K9/34
CPC分类号： G06F17/2775 , G06F17/241 , G06F17/30616 , G06F17/30734
摘要： A fact extraction tool set (“FEX”) finds and extracts targeted pieces of information from text using linguistic and pattern matching technologies, and in particular, text annotation and fact extraction. Text annotation tools break a text, such as a document, into its base tokens and annotate those tokens or patterns of tokens with orthographic, syntactic, semantic, pragmatic and other attributes. A user-defined “Annotation Configuration” controls which annotation tools are used in a given application. XML is used as the basis for representing the annotated text. A tag uncrossing tool resolves conflicting (crossed) annotation boundaries in an annotated text to produce well-formed XML from the results of the individual annotators. The fact extraction tool is a pattern matching language which is used to write scripts that find and match patterns of attributes that correspond to targeted pieces of information in the text, and extract that information.
摘要翻译：事实提取工具集（“FEX”）使用语言和模式匹配技术，特别是文本注释和事实提取，从文本中找到并提取目标信息。文本注释工具将文本（例如文档）打破到其基本标记中，并用正交，句法，语义，实用和其他属性注释那些令牌或模式的令牌。用户定义的“注释配置”控制在给定应用程序中使用的注释工具。 XML用作表示注释文本的基础。标签交换工具解析注释文本中的冲突（交叉）注释边界，以从单个注释器的结果生成格式良好的XML。事实提取工具是一种模式匹配语言，用于编写查找和匹配与文本中的目标信息段对应的属性模式的脚本，并提取该信息。

2. 发明授权

US06856988B1 Automated system and method for generating reasons that a court case is cited 有权
公开(公告)号：US06856988B1
公开(公告)日：2005-02-15
申请号：US09468785
申请日：1999-12-21
申请人： Timothy L. Humphrey , Xin Allan Lu , Afsar Parhizgar , Salahuddin Ahmed , James S. Wiltshire, Jr. , John T. Morelock , Joseph P. Harmon , Spiro G. Collias , Paul Zhang
发明人： Timothy L. Humphrey , Xin Allan Lu , Afsar Parhizgar , Salahuddin Ahmed , James S. Wiltshire, Jr. , John T. Morelock , Joseph P. Harmon , Spiro G. Collias , Paul Zhang
IPC分类号： G06F17/27 , G06F17/30
CPC分类号： G06F17/30613 , G06F17/27 , G06F17/2755 , G06F17/30728 , Y10S707/917 , Y10S707/942 , Y10S707/99932 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99937
摘要： A computer-automated system and method identify text in a first “citing” court case, near a “citing instance” (in which a second “cited” court case is cited), that indicates the reason(s) for citing (RFC). The automated method of designating text, taken from a set of citing documents, as reasons for citing (RFC) that are associated with respective citing instances of a cited document, has steps including: obtaining contexts of the citing instances in the respective citing documents (each context including text that includes the citing instance and text that is near the citing instance), analyzing the content of the contexts, and selecting (from the citing instances' context) text that constitutes the RFC, based on the analyzed content of the contexts. A related computer-automated system and method selects content words that are highly related to the reasons a particular document is cited, and gives them weights that indicate their relative relevance. Another related computer-automated system and method forms lists of morphological forms of words. Still another related computer-automated system and method scores sentences to show their relevance to the reasons a document is cited. Also, another related computer-automated system and method generates lists of content words. In a preferred embodiment, the systems and methods are applied to legal (especially case law) documents and legal (especially case law) citations.

3. 发明授权

US06772149B1 System and method for identifying facts and legal discussion in court case law documents 有权
标题翻译：法庭文件中确定事实和法律讨论的制度和方法
公开(公告)号：US06772149B1
公开(公告)日：2004-08-03
申请号：US09401725
申请日：1999-09-23
申请人： John T. Morelock , James S. Wiltshire, Jr. , Salahuddin Ahmed , Timothy Lee Humphrey , Xin Allan Lu
发明人： John T. Morelock , James S. Wiltshire, Jr. , Salahuddin Ahmed , Timothy Lee Humphrey , Xin Allan Lu
IPC分类号： G06F1730
CPC分类号： G06F17/30675 , Y10S707/99936 , Y10S707/99937
摘要： A computer-implemented method of gathering large quantities of training data from case law documents (especially suitable for use as input to a learning algorithm that is used in a subsequent process of recognizing and distinguishing fact passages and discussion passages in additional case law documents) has steps of: partitioning text in the documents by headings in the documents, comparing the headings in the documents to fact headings in a fact heading list and to discussion headings in a discussion heading list, filtering from the documents the headings and text that is associated with the headings, and storing (on persistent storage in a manner adapted for input into the learning algorithm) fact training data and discussion training data that are based on the filtered headings and the associated text. Another method (of extracting features that are independent of specific machine learning algorithms needed to accurately classify case law text passages as fact passages or as discussion passages) has steps of: determining a relative position of the text passages in an opinion segment in the case law text, parsing the text passages into text chunks, comparing the text chunks to predetermined feature entities for possible matched feature entities, and associating the relative position and matched feature entities with the text passages for use by one of the learning algorithms. Corresponding apparatus and computer-readable memories are also provided.
摘要翻译：一种计算机实现的方法，从案例法文件中收集大量的培训数据（特别适合用作后续过程中用于识别和区分其他案例法文件中的事实段落和讨论段落的学习算法的输入）步骤：通过文件中的标题来分隔文档中的文本，将文档中的标题与事实标题列表中的实际标题进行比较，并在讨论标题列表中与讨论标题进行比较，从文档过滤与标题相关的标题和文本标题和以适合于输入到学习算法中的方式存储（在持久存储器上）基于经滤波的标题和相关文本的事实训练数据和讨论训练数据。另一种方法（提取独立于特定机器学习算法的特征，将判例法文本段落准确分类为事实段落或作为讨论段落）具有以下步骤：确定判例法中意见段中文本段落的相对位置文本，将文本段解析为文本块，将文本块与可能匹配特征实体的预定特征实体进行比较，以及将相对位置和匹配特征实体与文本段相关联以供学习算法之一使用。还提供了相应的装置和计算机可读存储器。

4. 发明授权

US06502081B1 System and method for classifying legal concepts using legal topic scheme 有权
标题翻译：使用法律主题方案对法律概念进行分类的制度和方法
公开(公告)号：US06502081B1
公开(公告)日：2002-12-31
申请号：US09633266
申请日：2000-08-04
申请人： James S. Wiltshire, Jr. , John T. Morelock , Timothy L. Humphrey , X. Allan Lu , James M. Peck , Salahuddin Ahmed
发明人： James S. Wiltshire, Jr. , John T. Morelock , Timothy L. Humphrey , X. Allan Lu , James M. Peck , Salahuddin Ahmed
IPC分类号： G06F1518
CPC分类号： G06F17/30707 , G06N5/025 , G06Q10/10 , G09B7/00
摘要： An economic, scalable machine learning system and process perform document (concept) classification with high accuracy using large topic schemes, including large hierarchical topic schemes. One or more highly relevant classification topics is suggested for a-given document (concept) to be classified. The invention includes training and concept classification processes. The invention also provides methods that may be used as part of the training and/or concept classification processes, including: a method of scoring the relevance of features in training concepts, a method of ranking concepts based on relevance score, and a method of voting on topics associated with an input concept. In a preferred embodiment, the invention is applied to the legal (case law) domain, classifying legal concepts (rules of law) according to a proprietary legal topic classification scheme (a hierarchical scheme of areas of law).
摘要翻译：经济，可扩展的机器学习系统和过程使用大型主题方案（包括大型分层主题方案）以高精度执行文档（概念）分类。对于要分类的给定文件（概念），建议一个或多个高度相关的分类主题。本发明包括训练和概念分类过程。本发明还提供了可以用作训练和/或概念分类过程的一部分的方法，包括：评估训练概念中特征的相关性的方法，基于相关性得分对概念进行排名的方法和投票方法关于与输入概念相关的主题。在一个优选实施例中，本发明适用于法律（判例法）领域，根据专有法律主题分类方案（法律领域的分级方案）对法律概念（法治）进行分类。

5. 发明授权

US07693704B2 Automated system and method for generating reasons that a court case is cited 有权
标题翻译：引发法院案件的自动化制度和方法
公开(公告)号：US07693704B2
公开(公告)日：2010-04-06
申请号：US11056121
申请日：2005-02-14
申请人： Timothy L. Humphrey , Xin Allan Lu , Afsar Parhizgar , Salahuddin Ahmed , James S. Wiltshire, Jr. , John T. Morelock , Joseph P. Harmon , Spiro G. Collias , Paul Zhang
发明人： Timothy L. Humphrey , Xin Allan Lu , Afsar Parhizgar , Salahuddin Ahmed , James S. Wiltshire, Jr. , John T. Morelock , Joseph P. Harmon , Spiro G. Collias , Paul Zhang
IPC分类号： G06F17/27
CPC分类号： G06F17/30613 , G06F17/27 , G06F17/2755 , G06F17/30728 , Y10S707/917 , Y10S707/942 , Y10S707/99932 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99937
摘要： A computer-automated system and method identify text in a first “citing” court case, near a “citing instance” (in which a second “cited” court case is cited), that indicates the reason(s) for citing (RFC). The automated method of designating text, taken from a set of citing documents, as reasons for citing (RFC) that are associated with respective citing instances of a cited document, has steps including: obtaining contexts of the citing instances in the respective citing documents (each context including text that includes the citing instance and text that is near the citing instance), analyzing the content of the contexts, and selecting (from the citing instances' context) text that constitutes the RFC, based on the analyzed content of the contexts. A related computer-automated system and method selects content words that are highly related to the reasons a particular document is cited, and gives them weights that indicate their relative relevance. Another related computer-automated system and method forms lists of morphological forms of words. Still another related computer-automated system and method scores sentences to show their relevance to the reasons a document is cited. Also, another related computer-automated system and method generates lists of content words. In a preferred embodiment, the systems and methods are applied to legal (especially case law) documents and legal (especially case law) citations.
摘要翻译：计算机自动化系统和方法在第一个“引用”法庭案件中，在“引用案例”附近（其中引用了第二个“引用”法院案件）附近识别文本，其指示引用原因（RFC）。指定文本的自动化方法（从一组引用文件中获取）作为与被引用文献的各个引用实例相关联的引用（RFC）的原因，具有以下步骤：获得各个引用文档中的引用实例的上下文（每个上下文包括包括引用实例和引用实例附近的文本的文本），分析上下文的内容，以及基于所分析的上下文的内容来选择（来自引用实例的上下文）构成RFC的文本。相关的计算机自动化系统和方法选择与引用特定文档的原因高度相关的内容词，并给出它们表示其相对相关性的权重。另一个相关的计算机自动化系统和方法形成词形态形式的列表。另一个相关的计算机自动化系统和方法对句子进行分类，以表明它们与引用文档的原因的相关性。另外，另一个相关的计算机自动化系统和方法生成内容词列表。在一个优选实施例中，系统和方法适用于法律（特别是判例法）文件和法律（特别是判例法）引用。

6. 发明授权

US07464025B2 Automated system and method for generating reasons that a court case is cited 有权
标题翻译：引发法院案件的自动化制度和方法
公开(公告)号：US07464025B2
公开(公告)日：2008-12-09
申请号：US11056200
申请日：2005-02-14
申请人： Timothy L. Humphrey , Xin Allan Lu , Afsar Parhizgar , Salahuddin Ahmed , James S. Wiltshire, Jr. , John T. Morelock , Joseph P. Harmon , Spiro G. Collias , Paul Zhang
发明人： Timothy L. Humphrey , Xin Allan Lu , Afsar Parhizgar , Salahuddin Ahmed , James S. Wiltshire, Jr. , John T. Morelock , Joseph P. Harmon , Spiro G. Collias , Paul Zhang
IPC分类号： G06F17/27
CPC分类号： G06F17/30613 , G06F17/27 , G06F17/2755 , G06F17/30728 , Y10S707/917 , Y10S707/942 , Y10S707/99932 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99937
摘要： A computer-automated system and method identify text in a first “citing” court case, near a “citing instance” (in which a second “cited” court case is cited), that indicates the reason(s) for citing (RFC). The automated method of designating text, taken from a set of citing documents, as reasons for citing (RFC) that are associated with respective citing instances of a cited document, has steps including: obtaining contexts of the citing instances in the respective citing documents (each context including text that includes the citing instance and text that is near the citing instance), analyzing the content of the contexts, and selecting (from the citing instances' context) text that constitutes the RFC, based on the analyzed content of the contexts. A related computer-automated system and method selects content words that are highly related to the reasons a particular document is cited, and gives them weights that indicate their relative relevance. Another related computer-automated system and method forms lists of morphological forms of words. Still another related computer-automated system and method scores sentences to show their relevance to the reasons a document is cited. Also, another related computer-automated system and method generates lists of content words. In a preferred embodiment, the systems and methods are applied to legal (especially case law) documents and legal (especially case law) citations.
摘要翻译：计算机自动化系统和方法在第一个“引用”法庭案件中，在“引用案例”附近（其中引用了第二个“引用”法院案件）附近识别文本，其指示引用原因（RFC）。指定文本的自动化方法（从一组引用文件中获取）作为与被引用文献的各个引用实例相关联的引用（RFC）的原因，具有以下步骤：获得各个引用文档中的引用实例的上下文（每个上下文包括包括引用实例和引用实例附近的文本的文本），分析上下文的内容，以及基于所分析的上下文的内容来选择（来自引用实例的上下文）构成RFC的文本。相关的计算机自动化系统和方法选择与引用特定文档的原因高度相关的内容词，并给出它们表示其相对相关性的权重。另一个相关的计算机自动化系统和方法形成词形态形式的列表。另一个相关的计算机自动化系统和方法对句子进行分类，以表明它们与引用文档的原因的相关性。另外，另一个相关的计算机自动化系统和方法生成内容词列表。在一个优选实施例中，系统和方法适用于法律（特别是判例法）文件和法律（特别是判例法）引用。

7. 发明授权

US07912705B2 System and method for extracting information from text using text annotation and fact extraction 有权
标题翻译：使用文本注释和事实提取从文本中提取信息的系统和方法
公开(公告)号：US07912705B2
公开(公告)日：2011-03-22
申请号：US12689629
申请日：2010-01-19
申请人： Mark D. Wasson , James S. Wiltshire, Jr. , Donald Loritz , Steve Xu , Shian-jung Dick Chen , Valentina Templar , Eleni Koutsomitopoulou
发明人： Mark D. Wasson , James S. Wiltshire, Jr. , Donald Loritz , Steve Xu , Shian-jung Dick Chen , Valentina Templar , Eleni Koutsomitopoulou
IPC分类号： G06F17/27 , G06F7/00 , G06F17/21
CPC分类号： G06F17/2775 , G06F17/241 , G06F17/30616 , G06F17/30734
摘要： A fact extraction tool set (“FEX”) finds and extracts targeted pieces of information from text using linguistic and pattern matching technologies, and in particular, text annotation and fact extraction. Text annotation tools break a text, such as a document, into its base tokens and annotate those tokens or patterns of tokens with orthographic, syntactic, semantic, pragmatic and other attributes. A user-defined “Annotation Configuration” controls which annotation tools are used in a given application. XML is used as the basis for representing the annotated text. A tag uncrossing tool resolves conflicting (crossed) annotation boundaries in an annotated text to produce well-formed XML from the results of the individual annotators. The fact extraction tool is a pattern matching language which is used to write scripts that find and match patterns of attributes that correspond to targeted pieces of information in the text, and extract that information.
摘要翻译：事实提取工具集（“FEX”）使用语言和模式匹配技术，特别是文本注释和事实提取，从文本中找到并提取目标信息。文本注释工具将文本（例如文档）打破到其基本标记中，并用正交，句法，语义，务实和其他属性注释那些令牌或模式的令牌。用户定义的“注释配置”控制在给定应用程序中使用的注释工具。 XML用作表示注释文本的基础。标签交换工具解析注释文本中的冲突（交叉）注释边界，以从单个注释器的结果生成格式良好的XML。事实提取工具是一种模式匹配语言，用于编写查找和匹配与文本中的目标信息段对应的属性模式的脚本，并提取该信息。

8. 发明授权

US06684202B1 Computer-based system and method for finding rules of law in text 有权
标题翻译：基于计算机的系统和方法，用于在文本中查找法律规则
公开(公告)号：US06684202B1
公开(公告)日：2004-01-27
申请号：US09583867
申请日：2000-05-31
申请人： Timothy L. Humphrey , X. Allan Lu , James S. Wiltshire, Jr. , John T. Morelock , Spiro G. Collias , Salahuddin Ahmed
发明人： Timothy L. Humphrey , X. Allan Lu , James S. Wiltshire, Jr. , John T. Morelock , Spiro G. Collias , Salahuddin Ahmed
IPC分类号： G06N504
CPC分类号： G06F17/2715 , G06F17/2765 , Y10S707/99932 , Y10S707/99935
摘要： A system and method for binary classification of text units such as sentences, paragraphs and documents as either a rule of law (ROL) or not a rule of law (˜ROL). During a training phase of the system and method of the present invention, an initialized knowledge base and labeled or pre-classified sentences are used to build a trained knowledge base. The trained knowledge base contains an equation, a threshold, and a plurality of statistical values called Z values. When inputting text documents for classification, a Z value is generated for each term or token in the input text. The Z values are input to the equation which calculates a score for each sentence. Each calculated score is then compared to the threshold to classify each sentence as either ROL or ˜ROL.
摘要翻译：一种用于文本单元的二进制分类的系统和方法，例如句法，段落和文件作为法治（ROL）或不是法治（〜ROL）。在本发明的系统和方法的训练阶段，一个初始化的知识库和标记或预先分类的句子被用来建立一个训练有素的知识库。训练有素的知识库包含方程式，阈值和多个称为Z值的统计值。当输入用于分类的文本文档时，为输入文本中的每个项或令牌生成Z值。将Z值输入到计算每个句子的分数的方程式中。然后将每个计算得分与阈值进行比较，将每个句子分类为ROL或〜ROL。

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