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1. 发明授权

US07729655B2 Methods for automated essay analysis 有权
标题翻译：自动散文分析方法
公开(公告)号：US07729655B2
公开(公告)日：2010-06-01
申请号：US10948417
申请日：2004-09-22
申请人： Jill Burstein , Daniel Marcu , Martin Sanford Chodorow , Claudia Leacock , Vyacheslav Andreyev
发明人： Jill Burstein , Daniel Marcu , Martin Sanford Chodorow , Claudia Leacock , Vyacheslav Andreyev
IPC分类号： G09B11/00
CPC分类号： G09B7/00 , G06F17/274 , G09B7/02
摘要： An essay is analyzed automatically by accepting the essay and determining whether each of a predetermined set of features is present or absent in each sentence of the essay. For each sentence in the essay a probability that the sentence is a member of a certain discourse element category is calculated. The probability is based on the determinations of whether each feature in the set of features is present or absent. Furthermore, based on the calculated probabilities, a sentence is chosen as the choice for the discourse element category.
摘要翻译：通过接受论文并确定每篇文章的每个句子中是否存在预定的一组特征，分别自动分析一篇文章。对于文章中的每个句子，计算句子是某个话语元素类别成员的概率。概率基于确定特征集中的每个特征是否存在或不存在。此外，根据计算的概率，选择句子作为话语元素类别的选择。

2. 发明申请

US20100233666A1 Methods for Automated Essay Analysis 有权
标题翻译：自动散文分析方法
公开(公告)号：US20100233666A1
公开(公告)日：2010-09-16
申请号：US12785721
申请日：2010-05-24
申请人： Jill Burstein , Daniel Marcu , Vyacheslav Andreyev , Martin Sanford Chodorow , Claudia Leacock
发明人： Jill Burstein , Daniel Marcu , Vyacheslav Andreyev , Martin Sanford Chodorow , Claudia Leacock
IPC分类号： G09B7/00
CPC分类号： G09B7/00 , G06F17/274 , G09B7/02
摘要： An essay is analyzed automatically by accepting the essay and determining whether each of a predetermined set of features is present or absent in each sentence of the essay. For each sentence in the essay a probability that the sentence is a member of a certain discourse element category is calculated. The probability is based on the determinations of whether each feature in the set of features is present or absent. Furthermore, based on the calculated probabilities, a sentence is chosen as the choice for the discourse element category.
摘要翻译：通过接受论文并确定每篇文章的每个句子中是否存在预定的一组特征，分别自动分析一篇文章。对于文章中的每个句子，计算句子是某个话语元素类别成员的概率。概率基于确定特征集中的每个特征是否存在或不存在。此外，根据计算的概率，选择句子作为话语元素类别的选择。

3. 发明授权

US06796800B2 Methods for automated essay analysis 有权
标题翻译：自动散文分析方法
公开(公告)号：US06796800B2
公开(公告)日：2004-09-28
申请号：US10052380
申请日：2002-01-23
申请人： Jill Burstein , Daniel Marcu , Vyacheslav Andreyev , Martin Sanford Chodorow , Claudia Leacock
发明人： Jill Burstein , Daniel Marcu , Vyacheslav Andreyev , Martin Sanford Chodorow , Claudia Leacock
IPC分类号： G09B700
CPC分类号： G09B7/00 , G06F17/274 , G09B7/02
摘要： An essay is analyzed automatically by accepting the essay and determining whether each of a predetermined set of features is present or absent in each sentence of the essay. For each sentence in the essay a probability that the sentence is a member of a certain discourse element category is calculated. The probability is based on the determinations of whether each feature in the set of features is present or absent. Furthermore, based on the calculated probabilities, a sentence is chosen as the choice for the discourse element category.
摘要翻译：通过接受论文并确定每篇文章的每个句子中是否存在预定的一组特征，分别自动分析一篇文章。对于文章中的每个句子，计算句子是某个话语元素类别成员的概率。概率基于确定特征集中的每个特征是否存在或不存在。此外，根据计算的概率，选择句子作为话语元素类别的选择。

4. 发明授权

US08452225B2 Methods for automated essay analysis 有权
标题翻译：自动散文分析方法
公开(公告)号：US08452225B2
公开(公告)日：2013-05-28
申请号：US12785721
申请日：2010-05-24
申请人： Jill Burstein , Daniel Marcu , Vyacheslav Andreyev , Martin Sanford Chodorow , Claudia Leacock
发明人： Jill Burstein , Daniel Marcu , Vyacheslav Andreyev , Martin Sanford Chodorow , Claudia Leacock
IPC分类号： G09B11/00 , G09B7/00
CPC分类号： G09B7/00 , G06F17/274 , G09B7/02
摘要： Systems and methods for creating a mathematical model for use in identifying discourse elements are described. A plurality of first essays relating to a particular subject are received, where each first essay is in an electronic format. Annotations for each first essay are received, where each annotation identifies at least one discourse element. Features are identified with a processor, where each feature is exhibited by at least one identified discourse element. Empirical frequencies are computed with a processor, where each empirical frequency relates to the presence of a feature with respect to the identified discourse elements across the plurality of first essays. Each empirical frequency is associated with the related identified discourse element with a processor. The empirical frequencies are utilized to select discourse elements in at least one second essay.
摘要翻译：描述了用于创建用于识别话语元素的数学模型的系统和方法。接收与特定主题相关的多个第一散文，其中每个第一篇文章都是电子格式。收到每篇第一篇文章的注释，其中每个注释标识至少一个话语元素。特征用处理器识别，其中每个特征由至少一个所标识的话语元素展现。经验频率用处理器计算，其中每个经验频率涉及相对于所述多个第一散文中的所识别的话语元素的特征的存在。每个经验频率与具有处理器的相关的识别的话语元素相关联。使用经验频率至少在第二篇文章中选择话语元素。

5. 发明申请

US20050042592A1 Methods for automated essay analysis 有权
标题翻译：自动散文分析方法
公开(公告)号：US20050042592A1
公开(公告)日：2005-02-24
申请号：US10948417
申请日：2004-09-22
申请人： Jill Burstein , Daniel Marcu , Vyacheslav Andreyev , Martin Chodorow , Claudia Leacock
发明人： Jill Burstein , Daniel Marcu , Vyacheslav Andreyev , Martin Chodorow , Claudia Leacock
IPC分类号： G09B5/04 , G06F17/30 , G09B7/00 , G09B7/02 , G09B19/00 , G06F17/20
CPC分类号： G09B7/00 , G06F17/274 , G09B7/02
摘要： An essay is analyzed automatically by accepting the essay and determining whether each of a predetermined set of features is present or absent in each sentence of the essay. For each sentence in the essay a probability that the sentence is a member of a certain discourse element category is calculated. The probability is based on the determinations of whether each feature in the set of features is present or absent. Furthermore, based on the calculated probabilities, a sentence is chosen as the choice for the discourse element category.
摘要翻译：通过接受论文并确定每篇文章的每个句子中是否存在预定的一组特征，分别自动分析一篇文章。对于文章中的每个句子，计算句子是某个话语元素类别成员的概率。概率基于确定特征集中的每个特征是否存在或不存在。此外，根据计算的概率，选择句子作为话语元素类别的选择。

6. 发明授权

US08380491B2 System for rating constructed responses based on concepts and a model answer 有权
标题翻译：基于概念和模型答案对评级构建响应的系统
公开(公告)号：US08380491B2
公开(公告)日：2013-02-19
申请号：US10125440
申请日：2002-04-19
申请人： Claudia Leacock , Martin Chodorow , Eleanor Bolge , Magdalena Wolska
发明人： Claudia Leacock , Martin Chodorow , Eleanor Bolge , Magdalena Wolska
IPC分类号： G06F17/20 , G06F17/28 , G06F17/27 , G09B7/00
CPC分类号： G06F17/30684 , G06F17/3069 , G09B7/00
摘要： A concept rater module is utilized to automatically grade or score constructed responses based on a model answer. The concept rater module may be configured to accept a model answer as input. The model answer may be used as a grading key by the concept rater module. The concept rater module may be further configured to accept student responses in a file format. The file format may be ASCII text, a formatted word processing (e.g., WORDPERFECT, MICROSOFT WORD, etc.) and the like. The concept rater module may be further configured to process a student response into a canonical representation of the student response. The canonical representation of the student response is compared against the model answer by the concept rater module. From the comparison, a score is generated which represents that student's ability to cover all the key concepts.
摘要翻译：概念评估模块用于根据模型答案对构建的响应进行自动分级或得分。概念评估器模块可以被配置为接受模型答案作为输入。模型答案可以被概念评估模块用作分级键。概念评估器模块可以被进一步配置成以文件格式接受学生回复。文件格式可以是ASCII文本，格式化的字处理（例如，WORDPERFECT，MICROSOFT WORD等）等。概念评估器模块可以被进一步配置成将学生响应处理成学生响应的规范表示。将学生回应的规范表示与概念评估者模块的模型答案进行比较。从比较中，产生一个表示学生涵盖所有关键概念的能力的分数。

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