公开(公告)号：US06711585B1

公开(公告)日：2004-03-23

申请号：US09594083

申请日：2000-06-15

申请人： Max Copperman ,  Mark Angel ,  Jeffrey H. Rudy ,  Scott B. Huffman ,  David B. Kay ,  Raya Fratkina

发明人： Max Copperman ,  Mark Angel ,  Jeffrey H. Rudy ,  Scott B. Huffman ,  David B. Kay ,  Raya Fratkina

IPC分类号： G06F1730

CPC分类号： G06F17/30672 ,  G06F17/30616 ,  G06F17/30707 ,  G06F17/30731 ,  G06F17/30734 ,  G06F19/00 ,  Y10S707/99942 ,  Y10S707/99943 ,  Y10S707/99944 ,  Y10S707/99945 ,  Y10S707/99948

摘要： A method and system organize and retrieve information using taxonomies, a document classifier, and an autocontextualizer. Documents (or other knowledge containers) in an organization and retrieval subsystem may be manually or automatically classified into taxonomies. Documents are transformed from clear text into a structured record. Automatically constructed indexes help identify when the structured record is an appropriate response to a query. An automatic term extractor creates a list of terms indicative of the documents' subject matter. A subject matter expert identifies the terms relevant to the taxonomies. A term analysis system assigns the relevant terns to one or more taxonomies, and a suitable algorithm is then used to determine the relatedness between each list of terms and its associated taxonomy. The system then clusters documents for each taxonomy in accordance with the weights ascribed to the terms in the taxonomy's list and a directed acyclic graph (DAG) structure is created.

摘要翻译： 一种方法和系统使用分类法组织和检索信息，文档分类器和自动上下文。 组织和检索子系统中的文档（或其他知识容器）可以手动或自动分类为分类。 文件从明文转换为结构化记录。 自动构造的索引有助于确定结构化记录何时是对查询的适当响应。 自动术语提取器创建表示文档主题的术语列表。 主题专家确定与分类法相关的术语。 术语分析系统将相关的ern分配给一个或多个分类法，然后使用合适的算法来确定每个术语列表及其相关分类法之间的相关性。 然后，系统根据归类于分类清单中的术语的权重对每个分类法的文档进行聚类，并创建有向非循环图（DAG）结构。

公开(公告)号：US07401087B2

公开(公告)日：2008-07-15

申请号：US10610994

申请日：2003-07-01

申请人： Max Copperman ,  Mark Angel ,  Jeffrey H. Rudy ,  Scott B. Huffman ,  David B. Kay ,  Raya Fratkina

发明人： Max Copperman ,  Mark Angel ,  Jeffrey H. Rudy ,  Scott B. Huffman ,  David B. Kay ,  Raya Fratkina

IPC分类号： G06F17/00

CPC分类号： G06F17/30672 ,  G06F17/30616 ,  G06F17/30707 ,  G06F17/30731 ,  G06F17/30734 ,  G06F19/00 ,  Y10S707/99942 ,  Y10S707/99943 ,  Y10S707/99944 ,  Y10S707/99945 ,  Y10S707/99948

摘要： A method and system organize and retrieve information using taxonomies, a document classifier, and an autocontextualizer. Documents (or other knowledge containers) in an organization and retrieval subsystem may be manually or automatically classified into taxonomies. Documents are transformed from clear text into a structured record. Automatically constructed indexes help identify when the structured record is an appropriate response to a query. An automatic term extractor creates a list of terms indicative of the documents' subject matter. A subject matter expert identifies the terms relevant to the taxonomies. A term analysis system assigns the relevant terms to one or more taxonomies, and a suitable algorithm is then used to determine the relatedness between each list of terms and its associated taxonomy. The system then clusters documents for each taxonomy in accordance with the weights ascribed to the terms in the taxonomy's list and a directed acyclic graph (DAG) structure is created.

摘要翻译： 一种方法和系统使用分类法组织和检索信息，文档分类器和自动上下文。 组织和检索子系统中的文档（或其他知识容器）可以手动或自动分类为分类。 文件从明文转换为结构化记录。 自动构造的索引有助于确定结构化记录何时是对查询的适当响应。 自动术语提取器创建表示文档主题的术语列表。 主题专家确定与分类法相关的术语。 术语分析系统将相关术语分配给一个或多个分类法，然后使用合适的算法来确定每个术语列表及其相关分类法之间的相关性。 然后，系统根据归类于分类清单中的术语的权重对每个分类法的文档进行聚类，并创建有向非循环图（DAG）结构。

公开(公告)号：US07337158B2

公开(公告)日：2008-02-26

申请号：US10889888

申请日：2004-07-13

申请人： Raya Fratkina ,  Monica Anderson ,  Mark Angel ,  Max Copperman ,  Scott B. Huffman ,  David B. Kay ,  Robert Stern ,  Jeffrey Rudy

发明人： Raya Fratkina ,  Monica Anderson ,  Mark Angel ,  Max Copperman ,  Scott B. Huffman ,  David B. Kay ,  Robert Stern ,  Jeffrey Rudy

IPC分类号： G06F17/00 ,  G06F7/00 ,  G06N5/00 ,  G06N5/02

CPC分类号： G06F17/30654 ,  G06F17/30873 ,  G06N5/042 ,  Y10S707/99933 ,  Y10S707/99945

摘要： A method and system are disclosed for retrieving information through the use of a multi-stage interaction with a client to identify particular knowledge content associated with a knowledge map.

摘要翻译： 公开了一种用于通过使用与客户端的多阶段交互来检索信息以识别与知识图相关联的特定知识内容的方法和系统。

公开(公告)号：US20070250492A1

公开(公告)日：2007-10-25

申请号：US11462557

申请日：2006-08-04

申请人： Mark Angel ,  Max Copperman ,  Raya Fratkina ,  Scott B. Huffman ,  Brian Ulicny

发明人： Mark Angel ,  Max Copperman ,  Raya Fratkina ,  Scott B. Huffman ,  Brian Ulicny

IPC分类号： G06F17/30

CPC分类号： G06F16/90324

摘要： This document describes, among other things, a visual search experience editor for providing a tailored search experience to one or more end-users. In certain examples, the editor provides a What-You-See-Is-What-You-Get (WYSIWIG)-type interface, so that an administrative user can see what the tailored search experience will look like to the end-user. This may include the ability to review live search results or other specialized transaction interface results responsive to the tailored search. This document also describes various techniques of triggering tailored search experiences, as well as techniques for mapping queries to tailored search experiences, such as to generalize a particular tailored search for a particular query to apply to other similar queries.

摘要翻译： 该文件尤其描述了一种视觉搜索体验编辑器，用于向一个或多个最终用户提供定制的搜索体验。 在某些示例中，编辑器提供了What-You-See-Is-What-You-Get（WYSIWIG）型接口，以便管理用户可以看到定制的搜索体验对最终用户的看法。 这可以包括响应于定制搜索来检查实时搜索结果或其他专门的交易界面结果的能力。 本文件还描述了触发定制搜索体验的各种技术，以及用于将查询映射到定制的搜索体验的技术，例如将特定定制的搜索推广到特定查询以应用于其他类似查询。

公开(公告)号：US07539656B2

公开(公告)日：2009-05-26

申请号：US09798964

申请日：2001-03-06

申请人： Raya Fratkina ,  Monica Anderson ,  Mark A. Angel ,  Max Copperman ,  Scott B. Huffman ,  David Kay ,  Robert Stern

发明人： Raya Fratkina ,  Monica Anderson ,  Mark A. Angel ,  Max Copperman ,  Scott B. Huffman ,  David Kay ,  Robert Stern

IPC分类号： G06F17/00 ,  G06F17/30 ,  G06N5/00

CPC分类号： G06F17/30654 ,  G06F17/30873 ,  G06N5/042 ,  Y10S707/99933 ,  Y10S707/99945

摘要： A method and system are disclosed for retrieving information through the use of a multi-stage interaction with a client to identify particular knowledge content associated with a knowledge map. The present invention is an application program running on a server accessed via the world-wide web or other data network using standard Internet protocols, a web browser and web server software. In addition to an automated portion, the present invention allows a human dialog designer to model the way the system elicits information, giving a human feel to the dialog and a better customer experience. In operation, users start a dialog by directing their web browser to a designated web page. This web page asks the user some initial questions that are then passed to a dialog engine. The dialog engine then applies its methods and algorithms to a knowledge map, using dialog control information\ and the user's responses to provide feedback to the user. The feedback may include follow-up questions, relevant documents, and instructions to the user (e.g., instructions to contact a human customer service representative). This dialog engine response is rendered as a web page and returned to the user's web browser. The user can then respond further to the follow-up questions he or she is presented, and the cycle repeats. The invention can be implemented so that it can interact with customers through a wide variety of communication channels including the Internet, wireless devices (e.g., telephone, pager, etc.), handheld devices such as a Personal Data Assistant (PDA), email, and via a telephone where the automated system is delivered using an interactive voice response (IVR) and/or speech-recognition system.

摘要翻译： 公开了一种用于通过使用与客户端的多阶段交互来检索信息以识别与知识图相关联的特定知识内容的方法和系统。 本发明是在通过世界范围的网络或其他数据网络使用标准互联网协议访问的服务器上运行的应用程序，网络浏览器和web服务器软件。 除了自动化部分之外，本发明允许人对话设计者对系统引出信息的方式进行建模，给出对人的感觉和更好的客户体验。 在操作中，用户通过将其浏览器指向指定的网页来开始对话。 该网页向用户询问一些初始问题，然后传递给对话框引擎。 然后，对话框引擎将其方法和算法应用于知识图，使用对话控制信息\和用户的响应来向用户提供反馈。 反馈可以包括对用户的后续问题，相关文档和指令（例如，联系人类客户服务代表的指令）。 此对话框引擎响应呈现为网页并返回到用户的Web浏览器。 用户可以进一步响应他或她所呈现的后续问题，循环重复。 可以实现本发明，使得其可以通过包括因特网，无线设备（例如，电话，寻呼机等），诸如个人数据助理（PDA），电子邮件等手持设备的各种通信信道与客户进行交互， 以及通过使用交互式语音响应（IVR）和/或语音识别系统传送自动系统的电话。

公开(公告)号：US07028250B2

公开(公告)日：2006-04-11

申请号：US09864156

申请日：2001-05-25

申请人： Igor Ukrainczyk ,  Max Copperman ,  Scott B. Huffman

发明人： Igor Ukrainczyk ,  Max Copperman ,  Scott B. Huffman

IPC分类号： G06F15/00

CPC分类号： G06F17/30707 ,  G06F17/218 ,  G06F17/27 ,  G06F17/30616

摘要： A method is provided for automatically classifying text into categories. In operation, a plurality of tokens or features are manually or automatically associated with each category. A weight is then coupled to each feature, wherein the weight indicates a degree of association between the feature and the category. Next, a document is parsed into a plurality of unique tokens with associated counts, wherein the counts are indicative of the number of times the feature appears in the document. A category score representative of a sum of products of each feature count in the document times the corresponding feature weight in the category for each document is then computed. Next, the category scores are sorted by perspective, and a document is classified into a particular category, provided the category score exceeds a predetermined threshold.

公开(公告)号：US06980984B1

公开(公告)日：2005-12-27

申请号：US10150885

申请日：2002-05-16

申请人： Scott B. Huffman ,  David B. Kay

发明人： Scott B. Huffman ,  David B. Kay

IPC分类号： G06F17/30

CPC分类号： G06F17/30657 ,  Y10S707/99933 ,  Y10S707/99945

摘要： This document discusses, among other things, systems, devices, and methods for implementing a content provider using at least one structured data attribute, with an integer, float, string, or date value or the like. One or more such structured data attributes is obtained from a user query, a user attribute, a user selection, a document or other content resource, or an instance within an interactive user-provider dialog. One or more such structured data attributes is auto-mapped to a set of ordered concepts in an at least partially ordered taxonomy of a knowledge map representing a multidimensional organization of such concepts. A structured data attribute and/or an ordered concept is used to control the dialog, constrain a user's search, or order and present search results, either alone, or in combination with nonstructured (e.g., textual) data and/or one or more concepts that is not ordered using a structured data parameter.

摘要翻译： 本文档尤其涉及使用整数，浮点数，字符串或日期值等至少一个结构化数据属性来实现内容提供者的系统，设备和方法。 从用户查询，用户属性，用户选择，文档或其他内容资源或交互式用户 - 提供商对话中的实例获得一个或多个这样的结构化数据属性。 一个或多个这样的结构化数据属性被自动映射到代表这种概念的多维组织的知识图的至少部分有序分类中的一组有序概念。 结构化数据属性和/或有序概念用于控制对话，约束用户的搜索，或单独地呈现搜索结果，或者与非结构化（例如，文本）数据和/或一个或多个概念相结合 这不是使用结构化数据参数排序的。

公开(公告)号：US6141651A

公开(公告)日：2000-10-31

申请号：US100425

申请日：1998-06-19

申请人： James F. Riley ,  John A. Sudec ,  Michael Todd Roland ,  Scott B. Huffman ,  Paul A. Mettille

发明人： James F. Riley ,  John A. Sudec ,  Michael Todd Roland ,  Scott B. Huffman ,  Paul A. Mettille

IPC分类号： G06Q20/10 ,  G06Q40/00 ,  G06F17/60

CPC分类号： G06Q40/02 ,  G06Q20/10 ,  G06Q40/00 ,  G06Q40/025 ,  G06Q40/12

摘要： A method of reporting suspense transaction detail to acquiring banks includes compiling financial transaction information to a database. The information in the database is then routed to a server operable with the World Wide Web. The financial transaction information from the server is then accessed at a client station operable with the World Wide Web.

摘要翻译： 向收单银行报告挂单交易明细的一种方法包括向金融数据库编制金融交易信息。 然后将数据库中的信息路由到可与万维网一起使用的服务器。 然后，可以在可与万维网一起操作的客户端处访问来自服务器的金融交易信息。

公开(公告)号：US5841895A

公开(公告)日：1998-11-24

申请号：US736890

申请日：1996-10-25

申请人： Scott B. Huffman

发明人： Scott B. Huffman

IPC分类号： G06K9/68 ,  G06K9/62 ,  G06F15/18

CPC分类号： G06K9/6842

摘要： A method is provided for learning local syntactic relationships for use in an example-based information-extraction-pattern learning element of an automated information extraction system. The example-based learning element learns information extraction patterns from user-provided examples of texts paired with events the texts contain; these patterns can then be used by the information extraction system to recognize similar events in subsequent texts. The learning element learns patterns by analyzing each example text/event pair to determine paths of local syntactic relationships between constituents in the text that indicate the event. The learning element employs an incomplete dictionary of local syntactic relationships for this analysis. The present invention learns new local syntactic relationships for text/event pairs that cannot be analyzed using the learning element's initial, incomplete dictionary of relationships. These new relationships are added to the dictionary, and allow the learning element to learn patterns from example text/event pairs that cannot be analyzed using only the initial dictionary.

摘要翻译： 提供了一种用于学习局部句法关系以用于自动信息提取系统的基于示例的信息提取模式学习元素的方法。 基于示例的学习元素从用户提供的与文本所包含的事件配对的文本的示例学习信息提取模式; 这些模式然后可以被信息提取系统用于识别后续文本中的类似事件。 学习元素通过分析每个示例文本/事件对来确定模式，以确定指示事件的文本中组成部分之间的本地句法关系的路径。 学习元素使用本地语法关系的不完整词典进行分析。 本发明学习用于文本/事件对的新的局部句法关系，其不能使用学习元素的初始不完整的关系词典进行分析。 这些新关系被添加到字典中，并允许学习元素从仅使用初始字典不能分析的示例文本/事件对中学习模式。

公开(公告)号：US5796926A

公开(公告)日：1998-08-18

申请号：US469981

申请日：1995-06-06

申请人： Scott B. Huffman

发明人： Scott B. Huffman

IPC分类号： G06F15/18 ,  G06F17/30

CPC分类号： G06N99/005

摘要： A system is provided for learning extraction patterns (grammar) for use in connection with an information extraction system. The learning system learns extraction patterns from examples of texts and events. The patterns can then be used to recognize similar events in other input texts. The learning system builds new extraction patterns by recognizing local syntactic relationships between the sets of constituents within individual sentences that participate in events to be extracted. The learning system generalizes extraction patterns it has learned previously through simple inductive learning of sets of words that can be treated synonymously within the patterns. Sets of patterns for a sample extraction task perform nearly at the level of a hand-built dictionary of patterns.

摘要翻译： 提供了一种用于学习与信息提取系统结合使用的提取模式（语法）的系统。 学习系统从文本和事件的例子中学习提取模式。 然后可以使用模式来识别其他输入文本中的类似事件。 学习系统通过识别参与要提取的事件的单个句子内的组成部分之间的局部句法关系来建立新的提取模式。 学习系统通过简单的归纳学习来概括其先前已经学习的提取模式，这些集合可以在模式内同义对待的单词集合。 样本提取任务的模式集几乎处于手工制作的模式字典的级别。