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1. 发明授权

US07328146B1 Spoken language understanding that incorporates prior knowledge into boosting 有权
标题翻译：将先前知识纳入提升的口语理解
公开(公告)号：US07328146B1
公开(公告)日：2008-02-05
申请号：US11484120
申请日：2006-07-11
申请人： Hiyan Alshawi , Giuseppe DiFabrizzio , Narendra K. Gupta , Mazin G. Rahim , Robert E. Schapire , Yoram Singer
发明人： Hiyan Alshawi , Giuseppe DiFabrizzio , Narendra K. Gupta , Mazin G. Rahim , Robert E. Schapire , Yoram Singer
IPC分类号： G06F17/20
CPC分类号： G06F17/28
摘要： A system for understanding entries, such as speech, develops a classifier by employing prior knowledge with which a given corpus of training entries is enlarged threefold. A rule is created for each of the labels employed in the classifier, and the created rules are applied to the given corpus to create a corpus of attachments by appending a weight of ηp(x), or 1−ηp(x), to labels of entries that meet, or fail to meet, respectively, conditions of the labels' rules, and to also create a corpus of non-attachments by appending a weight of 1−ηp(x), or ηp(x), to labels of entries that meet, or fail to meet conditions of the labels' rules.
摘要翻译：用于理解诸如言语之类的条目的系统通过采用将给定的训练条目语料库放大三倍的先验知识来开发分类器。为分类器中使用的每个标签创建规则，并将创建的规则应用于给定的语料库，以通过将一个权重为etap（x）或1-etap（x）附加到标签来创建附件语料库分别符合或未能满足标签规则的条件的条目，并通过将1-etap（x）或etap（x）的权重附加到标签的标签上来创建非附件语料库满足或不符合标签规则条件的条目。

2. 发明授权

US07152029B2 Spoken language understanding that incorporates prior knowledge into boosting 有权
标题翻译：将先前知识纳入提升的口语理解
公开(公告)号：US07152029B2
公开(公告)日：2006-12-19
申请号：US10160461
申请日：2002-05-31
申请人： Hiyan Alshawi , Giuseppe DiFabbrizio , Narendra K. Gupta , Mazin G. Rahim , Robert E. Schapire , Yoram Singer
发明人： Hiyan Alshawi , Giuseppe DiFabbrizio , Narendra K. Gupta , Mazin G. Rahim , Robert E. Schapire , Yoram Singer
IPC分类号： G06F17/20
CPC分类号： G10L15/063
摘要： A system for understanding entries, such as speech, develops a classifier by employing prior knowledge with which a given corpus of training entries is enlarged threefold. A rule is created for each of the labels employed in the classifyier, and the created rules are applied to the given corpus to create a corpus of attachments by appending a weight of ηp(x), or 1−ηp(x), to labels of entries that meet, or fail to meet, respectively, conditions of the labels' rules, and to also create a corpus of non-attachments by appending a weight of 1−ηp(x), or ηp(x), to labels of entries that meet, or fail to meet conditions of the labels' rules.
摘要翻译：用于理解诸如言语之类的条目的系统通过采用将给定的训练条目语料库放大三倍的先验知识来开发分类器。为分类器中使用的每个标签创建一个规则，并将创建的规则应用于给定的语料库以通过将etap（x）或1-etap（x）的权重附加到标签来创建附件语料库分别符合或未能满足标签规则的条件的条目，并通过将1-etap（x）或etap（x）的权重附加到标签的标签上来创建非附件语料库满足或不符合标签规则条件的条目。

3. 发明授权

US06453307B1 Method and apparatus for multi-class, multi-label information categorization 有权
标题翻译：用于多类，多标签信息分类的方法和装置
公开(公告)号：US06453307B1
公开(公告)日：2002-09-17
申请号：US09253692
申请日：1999-02-22
申请人： Robert E. Schapire , Yoram Singer
发明人： Robert E. Schapire , Yoram Singer
IPC分类号： G06F1518
CPC分类号： G06K9/6256 , G06N3/08 , G06N99/005
摘要： A method and apparatus are provided for multi-class, mutli-label information categorization. A weight is assigned to each information sample in a training set, the training set containing a plurality of information samples, such as text documents, and associated labels. A base hypothesis is determined to predict which labels are associated with a given information sample. The base hypothesis predicts whether or not each label is associated with information sample or predicts the likelihood that each label is associated with the information sample. In the case of a document, the base hypothesis evaluates words in each document to determine one or more words that predict the associated labels. When a base hypothesis is determined, the weight assigned to each information sample in the training set is modified based on the base hypothesis predictions.
摘要翻译：提供了一种用于多类，多标签信息分类的方法和装置。在训练集中的每个信息样本分配权重，训练集包含多个信息样本，例如文本文档和相关联的标签。确定基础假设以预测哪些标签与给定信息样本相关联。基础假设预测每个标签是否与信息样本相关联，或预测每个标签与信息样本相关联的可能性。在文档的情况下，基础假设评估每个文档中的单词以确定预测相关标签的一个或多个单词。当确定基础假设时，基于基础假设预测修改分配给训练集中的每个信息样本的权重。

4. 发明授权

US09620117B1 Learning from interactions for a spoken dialog system 有权
公开(公告)号：US09620117B1
公开(公告)日：2017-04-11
申请号：US11426748
申请日：2006-06-27
申请人： Mazin Gilbert , Esther Levin , Michael Lederman Littman , Robert E. Schapire
发明人： Mazin Gilbert , Esther Levin , Michael Lederman Littman , Robert E. Schapire
IPC分类号： G10L15/00 , G10L15/14 , G10L15/28 , G10L21/00 , G10L25/00 , G10L15/26 , G10L15/06
CPC分类号： G10L15/065 , G06F17/2785 , G10L15/063 , G10L15/1815 , G10L15/26
摘要： In one embodiment, a semantic classifier input and a corresponding label attributed to the semantic classifier input may be obtained. A determination may be made whether the corresponding label is correct based on logged interaction data. An entry of an adaptation corpus may be generated based on a result of the determination. Operation of the semantic classifier may be adapted based on the adaptation corpus.

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