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    • 1. 发明授权
    • Content provider systems and methods using structured data
    • 使用结构化数据的内容提供者系统和方法
    • US06980984B1
    • 2005-12-27
    • US10150885
    • 2002-05-16
    • Scott B. HuffmanDavid B. Kay
    • Scott B. HuffmanDavid B. Kay
    • G06F17/30
    • G06F17/30657Y10S707/99933Y10S707/99945
    • 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.
    • 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。
    • 6. 发明授权
    • System and method for providing an intelligent multi-step dialog with a user
    • 用于向用户提供智能多步骤对话的系统和方法
    • US07539656B2
    • 2009-05-26
    • US09798964
    • 2001-03-06
    • Raya FratkinaMonica AndersonMark A. AngelMax CoppermanScott B. HuffmanDavid KayRobert Stern
    • Raya FratkinaMonica AndersonMark A. AngelMax CoppermanScott B. HuffmanDavid KayRobert Stern
    • G06F17/00G06F17/30G06N5/00
    • G06F17/30654G06F17/30873G06N5/042Y10S707/99933Y10S707/99945
    • 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.
    • 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。
    • 8. 发明申请
    • VISUAL SEARCH EXPERIENCE EDITOR
    • 视觉搜索经验编辑
    • US20070250492A1
    • 2007-10-25
    • US11462557
    • 2006-08-04
    • Mark AngelMax CoppermanRaya FratkinaScott B. HuffmanBrian Ulicny
    • Mark AngelMax CoppermanRaya FratkinaScott B. HuffmanBrian Ulicny
    • G06F17/30
    • G06F16/90324
    • 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.
    • 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。
    • 9. 发明授权
    • Method for learning local syntactic relationships for use in
example-based information-extraction-pattern learning
    • 学习局部句法关系的方法,用于基于示例的信息提取模式学习
    • US5841895A
    • 1998-11-24
    • US736890
    • 1996-10-25
    • Scott B. Huffman
    • Scott B. Huffman
    • G06K9/68G06K9/62G06F15/18
    • G06K9/6842
    • 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.
    • 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。
    • 10. 发明授权
    • Method and apparatus for learning information extraction patterns from
examples
    • 从示例中学习信息提取模式的方法和装置
    • US5796926A
    • 1998-08-18
    • US469981
    • 1995-06-06
    • Scott B. Huffman
    • Scott B. Huffman
    • G06F15/18G06F17/30
    • G06N99/005
    • 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.
    • 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。