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    Parsing location histories
    2.
    发明授权
    Parsing location histories 有权
    解析位置历史

    公开(公告)号：US07868786B2

    公开(公告)日：2011-01-11

    申请号：US10968861

    申请日：2004-10-19

    申请人： Kentaro Toyama ,  Ramaswamy Hariharan ,  Ross G. Cutler ,  John R. Douceur ,  Nuria M. Oliver ,  Eric K. Ringger ,  Daniel C. Robbins ,  Matthew T. Uyttendaele

    发明人： Kentaro Toyama ,  Ramaswamy Hariharan ,  Ross G. Cutler ,  John R. Douceur ,  Nuria M. Oliver ,  Eric K. Ringger ,  Daniel C. Robbins ,  Matthew T. Uyttendaele

    IPC分类号： G08G1/123

    CPC分类号： G06Q30/02

    摘要： A location history is a collection of locations over time for an object. A stay is a single instance of an object spending some time in one place, and a destination is any place where one or more objects have experienced a stay. Location histories are parsed using stays and destinations. In a described implementation, each location of a location history is recorded as a spatial position and a corresponding time at which the spatial position is acquired. Stays are extracted from a location history by analyzing locations thereof with regard to a temporal threshold and a spatial threshold. Specifically, two or more locations are considered a stay if they exceed a minimum stay duration and are within a maximum roaming distance. Each stay includes a location, a starting time, and an ending time. Destinations are produced from the extracted stays using a clustering operation and a predetermined scaling factor.

    摘要翻译： 位置历史记录是对象的一段时间内的位置集合。 逗留是在一个地方花费一些时间的对象的单个实例，目的地是一个或多个对象经历了逗留的任何地方。 使用停留和目的地解析位置历史记录。 在描述的实现中，将位置历史的每个位置记录为空间位置和获取空间位置的对应时间。 通过相对于时间阈值和空间阈值分析其位置，从位置历史中提取静止。 具体来说，如果两个或多个位置超过最小停留持续时间并处于最大漫游距离内，则将其视为停留。 每个住宿包括一个位置，一个起始时间和一个结束时间。 使用聚类操作和预定缩放因子从所提取的逗留中产生目的地。

    Module for creating a language neutral syntax representation using a language particular syntax tree
    3.
    发明授权
    Module for creating a language neutral syntax representation using a language particular syntax tree 有权
    用于使用语言特定语法树创建语言中性语法表示的模块

    公开(公告)号：US07596485B2

    公开(公告)日：2009-09-29

    申请号：US10882697

    申请日：2004-06-30

    申请人： Richard G. Campbell ,  Eric K. Ringger

    发明人： Richard G. Campbell ,  Eric K. Ringger

    IPC分类号： G06F17/27 ,  G06F17/20

    CPC分类号： G06F17/2755 ,  G06F17/271 ,  G06F17/2785

    摘要： A method or module for creating an Language Neutral Syntax (LNS) representation of a sentence from a language particular syntax representation such as found in the Penn Treebank for use by different applications. The method or module includes a node generator configured to create hierarchical and dependent nodes using phrasal and constituent nodes of the language particular syntax. A node dependency generator is configured to create an unordered hierarchical dependency structure for the hierarchical and dependent nodes using a semantic relation between the hierarchical and dependent nodes derived from the language particular syntax.

    摘要翻译： 用于从语言特定语法表示（例如在Penn Treebank中找到的）用于由不同应用使用的语言来创建句子的语言中立语法（LNS）表示的方法或模块。 该方法或模块包括被配置为使用语言特定语法的短语和组成节点来创建分级和从属节点的节点生成器。 节点依赖生成器被配置为使用从语言特定语法导出的分级和从属节点之间的语义关系来为分层和从属节点创建无序层级依赖性结构。

    Augmented-word language model
    4.
    发明授权
    Augmented-word language model 有权
    增强词语言模型

    公开(公告)号：US06606597B1

    公开(公告)日：2003-08-12

    申请号：US09657686

    申请日：2000-09-08

    申请人： Eric K. Ringger ,  Lucian Galescu

    发明人： Eric K. Ringger ,  Lucian Galescu

    IPC分类号： G10L1300

    CPC分类号： G06F17/277

    摘要： A language model comprising a plurality of augmented-word n-grams and probabilities corresponding to such n-grams. Each n-gram is comprised of a sequence of augmented words. Each augmented word is comprised of the orthographic representation of the word together with a tag representing lexical information regarding the word, such as syntactic or semantic information. Also disclosed are a method of building such a language model, a method of automatically recognizing speech using the language model and a speech recognition system that employs the language model.

    摘要翻译： 一种语言模型，包括多个增加词n克和对应于这种n克的概率。 每个n-gram由一系列增强词组成。 每个扩充字由字的正交表示与代表词的词汇信息的标签组成，例如句法或语义信息。 还公开了构建这样的语言模型的方法，使用语言模型自动识别语音的方法和使用语言模型的语音识别系统。

    Systems and methods that determine intent of data and respond to the data based on the intent
    7.
    发明授权
    Systems and methods that determine intent of data and respond to the data based on the intent 有权
    确定数据意图并根据意图响应数据的系统和方法

    公开(公告)号：US07496500B2

    公开(公告)日：2009-02-24

    申请号：US10867626

    申请日：2004-06-15

    申请人： David R. Reed ,  Eric K. Ringger ,  Michael Gamon ,  Richard G. Campbell ,  Robert G. Atkinson ,  Simon H. Corston ,  Malcolm E. Pearson

    发明人： David R. Reed ,  Eric K. Ringger ,  Michael Gamon ,  Richard G. Campbell ,  Robert G. Atkinson ,  Simon H. Corston ,  Malcolm E. Pearson

    IPC分类号： G06F17/27 ,  G06F15/16 ,  G06F15/173

    CPC分类号： G06Q10/107

    摘要： The present invention relates to systems and methods that determine intent for received data (e.g., email, voice, graphics . . . ) and respond to the data based on the intent. The systems and methods employ various combinations of features based on shallow and deep linguistic analysis (e.g., semantic and syntactic) to yield very high accuracy. The systems and methods analyze and categorize received data to locate data that can include intent. This data can be further refined by extracting features related to the intent. The features can be utilized by a classifier to determine the intent. If the intent warrants a response, the data are further scrutinized and reformulated to generate a description that is indicative of the intent. The reformulation can include representing the features in a logical form, transforming the form and generating a description of the intent that can be presented to a user visually and/or audibly.

    摘要翻译： 本发明涉及确定接收到的数据（例如，电子邮件，语音，图形...）的意图并基于意图响应数据的系统和方法。 系统和方法采用基于浅层和深层语言分析（例如语义和句法）的特征的各种组合，以产生非常高的精度。 系统和方法分析和分类接收到的数据以定位可包括意图的数据。 可以通过提取与意图相关的特征来进一步改进该数据。 分类器可以利用这些特征来确定意图。 如果意图保证有回应，则会对数据进行仔细检查和重新设计，以生成表示意图的描述。 重新制定可以包括以逻辑形式表示特征，转换形式并生成可以以视觉和/或听觉呈现给用户的意图的描述。

    Augmented-word language model
    8.
    发明授权
    Augmented-word language model 失效

    公开(公告)号：US06983247B2

    公开(公告)日：2006-01-03

    申请号：US10292335

    申请日：2002-11-12

    申请人： Eric K. Ringger ,  Lucian Galescu

    发明人： Eric K. Ringger ,  Lucian Galescu

    IPC分类号： G10L15/06

    CPC分类号： G06F17/277

    摘要： A language model comprising a plurality of augmented-word n-grams and probabilities corresponding to such n-grams. Each n-gram is comprised of a sequence of augmented words. Each augmented word is comprised of the orthographic representation of the word together with a tag representing lexical information regarding the word, such as syntactic or semantic information. Also disclosed are a method of building such a language model, a method of automatically recognizing speech using the language model and a speech recognition system that employs the language model.