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1. 发明申请

US20060200341A1 Method and apparatus for processing sentiment-bearing text 有权
标题翻译：处理情感文本的方法和装置
公开(公告)号：US20060200341A1
公开(公告)日：2006-09-07
申请号：US11105619
申请日：2005-04-14
申请人： Simon Corston-Oliver , Anthony Aue , Eric Ringger , Michael Gamon
发明人： Simon Corston-Oliver , Anthony Aue , Eric Ringger , Michael Gamon
IPC分类号： G06F17/28
CPC分类号： G06F17/30707 , G06F17/274
摘要： The present invention provides a system for identifying, extracting, clustering and analyzing sentiment-bearing text. In one embodiment, the invention implements a pipeline capable of accessing raw text and presenting it in a highly usable and intuitive way.
摘要翻译：本发明提供一种用于识别，提取，聚类和分析情感文本的系统。在一个实施例中，本发明实现了能够访问原始文本并且以高度可用和直观的方式呈现它的流水线。

2. 发明申请

US20060200342A1 System for processing sentiment-bearing text 有权
标题翻译：处理情感文本的系统
公开(公告)号：US20060200342A1
公开(公告)日：2006-09-07
申请号：US11105624
申请日：2005-04-14
申请人： Simon Corston-Oliver , Anthony Aue , Eric Ringger , Michael Gamon
发明人： Simon Corston-Oliver , Anthony Aue , Eric Ringger , Michael Gamon
IPC分类号： G06F17/21
CPC分类号： G06F17/3071 , G06F17/274
摘要： The present invention provides a system for identifying, extracting, clustering and analyzing sentiment-bearing text. In one embodiment, the invention implements a pipeline capable of accessing raw text and presenting it in a highly usable and intuitive way.
摘要翻译：本发明提供一种用于识别，提取，聚类和分析情感文本的系统。在一个实施例中，本发明实现了能够访问原始文本并且以高度可用和直观的方式呈现它的流水线。

3. 发明授权

US07526424B2 Sentence realization model for a natural language generation system 失效
标题翻译：自然语言生成系统的句子实现模型
公开(公告)号：US07526424B2
公开(公告)日：2009-04-28
申请号：US10103163
申请日：2002-03-20
申请人： Simon Corston-Oliver , Michael Gamon , Eric Ringger , Robert C. Moore , Zhu Zhang
发明人： Simon Corston-Oliver , Michael Gamon , Eric Ringger , Robert C. Moore , Zhu Zhang
IPC分类号： G06F17/27
CPC分类号： G06F17/2881
摘要： The present invention is a sentence realization system that processes an abstract linguistic representation (ALR) of a sentence into a structure that can be fully realizable. The system includes a tree conversion component that receives the ALR and generates a basic syntax tree from the ALR. A global movement component then receives the basic syntax tree and hierarchically orders child nodes in that syntax tree relative to ancestor nodes. An intra-constituent ordering component then establishes a linear order among the nodes such that the syntax tree is fully ordered. A surface cleanup component receives the fully ordered tree and performs a number of realization operations to generate surface realizations for constituents that are still represented in an abstract way in the fully ordered syntax tree.
摘要翻译：本发明是将句子的抽象语言表示（ALR）处理成可以完全实现的结构的句子实现系统。该系统包括接收ALR并从ALR生成基本语法树的树转换组件。然后，全局运动组件接收基本语法树，并相对于祖先节点分层排序该语法树中的子节点。然后，内部组件排序组件在节点之间建立一个线性顺序，使得语法树被完全排序。表面清理组件接收完全有序的树并执行多个实现操作，以便在完全有序的语法树中以抽象方式表示的组成部分生成表面实现。

4. 发明授权

US07346493B2 Linguistically informed statistical models of constituent structure for ordering in sentence realization for a natural language generation system 有权
标题翻译：语言知识的组织结构统计模型，用于自然语言生成系统的句子实现中的排序
公开(公告)号：US07346493B2
公开(公告)日：2008-03-18
申请号：US10396549
申请日：2003-03-25
申请人： Eric Ringger , Michael Gamon , Martine Smets , Simon Corston-Oliver , Robert C. Moore
发明人： Eric Ringger , Michael Gamon , Martine Smets , Simon Corston-Oliver , Robert C. Moore
IPC分类号： G06F17/21 , G06F17/27
CPC分类号： G06F17/2881 , G06F17/2715 , G10L15/26
摘要： The present invention is a tree ordering component within a sentence realization system which receives an unordered syntax tree and generates a ranked list of alternative ordered syntax trees from the unordered syntax tree. The present invention also includes statistical models of constituent structure employed by the tree ordering component in scoring the alternative ordered trees.
摘要翻译：本发明是句子实现系统中的树顺序分量，其接收无序语法树，并从无序语法树生成替代有序语法树的排序列表。本发明还包括由树排序组件在对替代有序树进行评分时使用的组成结构的统计模型。

5. 发明授权

US07788086B2 Method and apparatus for processing sentiment-bearing text 有权
标题翻译：处理情感文本的方法和装置
公开(公告)号：US07788086B2
公开(公告)日：2010-08-31
申请号：US11105619
申请日：2005-04-14
申请人： Simon H. Corston-Oliver , Anthony Aue , Eric K. Ringger , Michael Gamon
发明人： Simon H. Corston-Oliver , Anthony Aue , Eric K. Ringger , Michael Gamon
IPC分类号： G06F17/20 , G06F17/27 , G06F17/21
CPC分类号： G06F17/30707 , G06F17/274
摘要： The present invention provides a system for identifying, extracting, clustering and analyzing sentiment-bearing text. In one embodiment, the invention implements a pipeline capable of accessing raw text and presenting it in a highly usable and intuitive way.
摘要翻译：本发明提供一种用于识别，提取，聚类和分析情感文本的系统。在一个实施例中，本发明实现了能够访问原始文本并且以高度可用和直观的方式呈现它的流水线。

6. 发明申请

US20060100852A1 Technique for document editorial quality assessment 有权
标题翻译：文件编辑质量评估技术
公开(公告)号：US20060100852A1
公开(公告)日：2006-05-11
申请号：US10969119
申请日：2004-10-20
申请人： Michael Gamon , Anthony Aue
发明人： Michael Gamon , Anthony Aue
IPC分类号： G06F17/27
CPC分类号： G06F17/271 , G06F17/2785
摘要： A computer-implemented system and method for assessing the editorial quality of a textual unit (document, paragraph or sentence) is provided. The method includes generating a plurality of training-time feature vectors by automatically extracting features from first and last versions of training documents. The method also includes training a machine-learned classifier based on the plurality of training-time feature vectors. A run-time feature vector is generated for the textual unit to be assessed by automatically extracting features from the textual unit. The run-time feature vector is evaluated using the machine-learned classifier to provide an assessment of the editorial quality of the textual unit.
摘要翻译：提供了一种用于评估文本单元（文档，段落或句子）的编辑质量的计算机实现的系统和方法。该方法包括通过自动提取来自训练文档的第一和最后版本的特征来生成多个训练时特征向量。该方法还包括基于多个训练时间特征向量训练机器学习分类器。通过自动从文本单元中提取特征，为要评估的文本单元生成运行时特征向量。运行时特征向量使用机器学习分类器进行评估，以提供对文本单元的编辑质量的评估。

7. 发明申请

US20050192992A1 Systems and methods that determine intent of data and respond to the data based on the intent 有权
标题翻译：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：US20050192992A1
公开(公告)日：2005-09-01
申请号：US10867626
申请日：2004-06-15
申请人： David Reed , Eric Ringger , Michael Gamon , Richard Campbell , Robert Atkinson , Simon Corston , Malcolm Pearson
发明人： David Reed , Eric Ringger , Michael Gamon , Richard Campbell , Robert Atkinson , Simon Corston , Malcolm Pearson
IPC分类号： G06F17/21 , G06F7/00 , G06F15/16 , G06F17/00 , G06F17/27 , G06F17/30 , G06Q10/00
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。

8. 发明授权

US07788087B2 System for processing sentiment-bearing text 有权
标题翻译：处理情感文本的系统
公开(公告)号：US07788087B2
公开(公告)日：2010-08-31
申请号：US11105624
申请日：2005-04-14
申请人： Simon H. Corston-Oliver , Anthony Aue , Eric K. Ringger , Michael Gamon
发明人： Simon H. Corston-Oliver , Anthony Aue , Eric K. Ringger , Michael Gamon
IPC分类号： G06F17/21 , G06F17/27
CPC分类号： G06F17/3071 , G06F17/274
摘要： The present invention provides a system for identifying, extracting, clustering and analyzing sentiment-bearing text. In one embodiment, the invention implements a pipeline capable of accessing raw text and presenting it in a highly usable and intuitive way.
摘要翻译：本发明提供一种用于识别，提取，聚类和分析情感文本的系统。在一个实施例中，本发明实现了能够访问原始文本并且以高度可用和直观的方式呈现它的流水线。

9. 发明授权

US07835902B2 Technique for document editorial quality assessment 有权
标题翻译：文件编辑质量评估技术
公开(公告)号：US07835902B2
公开(公告)日：2010-11-16
申请号：US10969119
申请日：2004-10-20
申请人： Michael Gamon , Anthony Aue
发明人： Michael Gamon , Anthony Aue
IPC分类号： G06F17/28 , G06F17/21 , G06F7/00
CPC分类号： G06F17/271 , G06F17/2785
摘要： A computer-implemented system and method for assessing the editorial quality of a textual unit (document, paragraph or sentence) is provided. The method includes generating a plurality of training-time feature vectors by automatically extracting features from first and last versions of training documents. The method also includes training a machine-learned classifier based on the plurality of training-time feature vectors. A run-time feature vector is generated for the textual unit to be assessed by automatically extracting features from the textual unit. The run-time feature vector is evaluated using the machine-learned classifier to provide an assessment of the editorial quality of the textual unit.
摘要翻译：提供了一种用于评估文本单元（文档，段落或句子）的编辑质量的计算机实现的系统和方法。该方法包括通过自动提取来自训练文档的第一和最后版本的特征来生成多个训练时特征向量。该方法还包括基于多个训练时间特征向量训练机器学习分类器。通过自动从文本单元中提取特征，为要评估的文本单元生成运行时特征向量。运行时特征向量使用机器学习分类器进行评估，以提供对文本单元的编辑质量的评估。

10. 发明申请

US20130159219A1 Predicting the Likelihood of Digital Communication Responses 审中-公开
标题翻译：预测数字通信响应的可能性
公开(公告)号：US20130159219A1
公开(公告)日：2013-06-20
申请号：US13325386
申请日：2011-12-14
申请人： Patrick Pantel , Michael Gamon , Yoav Y. Artzi
发明人： Patrick Pantel , Michael Gamon , Yoav Y. Artzi
IPC分类号： G06F15/18 , G06N5/00
CPC分类号： G06N20/00
摘要： Different advantageous embodiments provide for response prediction. A social element is received by a prediction mechanism. A feature set is generated for the social element. A prediction is generated using the feature set and a prediction model.
摘要翻译：不同的有利实施例提供了响应预测。一个社会因素被预测机制所接受。为社交元素生成一个特征集。使用特征集和预测模型生成预测。

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