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1. 发明授权

US5819247A Apparatus and methods for machine learning hypotheses 失效
标题翻译：机器学习假设的装置和方法
公开(公告)号：US5819247A
公开(公告)日：1998-10-06
申请号：US902106
申请日：1997-07-29
申请人： Yoav Freund , Robert Elias Schapire
发明人： Yoav Freund , Robert Elias Schapire
IPC分类号： G06F15/18 , G06F19/00 , G06N3/08 , G06T7/00
CPC分类号： G06K9/6256 , G06N3/08 , G06N99/005
摘要： Apparatus and methods for machine learning the hypotheses used in the classifier component of pattern classification devices such as OCRs, other image analysis systems, and and text retrieval systems. The apparatus and methods employ machine learning techniques for generating weak hypotheses from a set of examples of the patterns to be recognized and then evaluate the resulting hypothesis against example patterns. The results of the evaluation are used to increase the probability that the examples used to generate the next weak hypothesis are ones which the previous weak hypothesis did not correctly classify. The results of the evaluation are also used to give a weight to each weak hypothesis. A strong hypothesis is then made by combining the weak hypotheses according to their weights.
摘要翻译：用于机器学习在诸如OCR，其他图像分析系统和文本检索系统之类的模式分类装置的分类器组件中使用的假设的装置和方法。该装置和方法采用机器学习技术从用于识别的模式的一组示例中产生弱假设，然后根据示例模式评估所得到的假设。评估结果用于增加用于产生下一个弱假设的实例是以前的弱假设没有正确分类的概率。评估结果也用于给每个弱假设加权。然后通过将弱假设根据其权重组合来进行强烈的假设。

2. 发明授权

US08010357B2 Combining active and semi-supervised learning for spoken language understanding 有权
标题翻译：结合积极和半监督的学习语言理解
公开(公告)号：US08010357B2
公开(公告)日：2011-08-30
申请号：US11033902
申请日：2005-01-12
申请人： Dilek Z. Hakkani-Tur , Robert Elias Schapire , Gokhan Tur
发明人： Dilek Z. Hakkani-Tur , Robert Elias Schapire , Gokhan Tur
IPC分类号： G10L15/06
CPC分类号： G10L15/1822 , G10L15/063 , G10L15/183
摘要： Combined active and semi-supervised learning to reduce an amount of manual labeling when training a spoken language understanding model classifier. The classifier may be trained with human-labeled utterance data. Ones of a group of unselected utterance data may be selected for manual labeling via active learning. The classifier may be changed, via semi-supervised learning, based on the selected ones of the unselected utterance data.
摘要翻译：组合主动和半监督学习，在训练口语语言理解模型分类器时减少手动标注量。分类器可以用人标记的话语数据进行训练。可以通过主动学习选择一组未选择的话语数据进行手动标注。分类器可以通过半监督学习，基于所选择的未被选择的话语数据来改变。

3. 发明授权

US07742918B1 Active learning for spoken language understanding 失效
标题翻译：积极学习口语理解
公开(公告)号：US07742918B1
公开(公告)日：2010-06-22
申请号：US11773681
申请日：2007-07-05
申请人： Dilek Z. Hakkani-Tur , Robert Elias Schapire , Gokhan Tur
发明人： Dilek Z. Hakkani-Tur , Robert Elias Schapire , Gokhan Tur
IPC分类号： G10L15/06
CPC分类号： G10L15/063
摘要： Disclosed is a system and method of training a spoken language understanding module. Such a module may be utilized in a spoken dialog system. The method of training a spoken language understanding module comprises training acoustic and language models using a small set of transcribed data St, recognizing utterances in a set Su that are candidates for transcription using the acoustic and language models, computing confidence scores of the utterances, selecting k utterances that have the smallest confidence scores from Su and transcribing them into a new set Si, redefining St as the union of St and Si, redefining Su as Su minus Si, and returning to the step of training acoustic and language models if word accuracy has not converged.
摘要翻译：公开了一种训练口语理解模块的系统和方法。这样的模块可以在口语对话系统中使用。训练口语理解模块的方法包括使用一小组转录数据St来训练声学和语言模型，使用声学和语言模型识别作为用于转录的候选者的集合Su中的话语，计算话语的置信度分数，选择从苏的信心得分最小的k k and and Si Si Si Si Si，，ining ining of Si Si Si Si Si Si accuracy accuracy accuracy as as accuracy accuracy accuracy accuracy accuracy accuracy accuracy accuracy accuracy accuracy accuracy accuracy accuracy accuracy accuracy accuracy accuracy accuracy accuracy accuracy accuracy 没有收敛。

4. 发明申请

US20090063145A1 Combining active and semi-supervised learning for spoken language understanding 有权
标题翻译：结合积极和半监督的学习语言理解
公开(公告)号：US20090063145A1
公开(公告)日：2009-03-05
申请号：US11033902
申请日：2005-01-12
申请人： Dilek Z. Hakkani-Tur , Robert Elias Schapire , Gokham Tur
发明人： Dilek Z. Hakkani-Tur , Robert Elias Schapire , Gokham Tur
IPC分类号： G10L15/06
CPC分类号： G10L15/1822 , G10L15/063 , G10L15/183
摘要： Combined active and semi-supervised learning to reduce an amount of manual labeling when training a spoken language understanding model classifier. The classifier may be trained with human-labeled utterance data. Ones of a group of unselected utterance data may be selected for manual labeling via active learning. The classifier may be changed, via semi-supervised learning, based on the selected ones of the unselected utterance data.
摘要翻译：组合主动和半监督学习，在训练口语语言理解模型分类器时减少手动标注量。分类器可以用人标记的话语数据进行训练。可以通过主动学习选择一组未选择的话语数据进行手动标注。分类器可以通过半监督学习，基于所选择的未被选择的话语数据来改变。

5. 发明授权

US07263486B1 Active learning for spoken language understanding 有权
标题翻译：积极学习口语理解
公开(公告)号：US07263486B1
公开(公告)日：2007-08-28
申请号：US10404699
申请日：2003-04-01
申请人： Dilek Z. Hakkani-Tur , Robert Elias Schapire , Gokhan Tur
发明人： Dilek Z. Hakkani-Tur , Robert Elias Schapire , Gokhan Tur
IPC分类号： G10L15/16
CPC分类号： G10L15/063
摘要： Disclosed is a system and method of training a spoken language understanding module. Such a module may be utilized in a spoken dialog system. The method of training a spoken language understanding module comprises training acoustic and language models using a small set of transcribed data ST, recognizing utterances in a set Su that are candidates for transcription using the acoustic and language models, computing confidence scores of the utterances, selecting k utterances that have the smallest confidence scores from Su and transcribing them into a new set Si, redefining St as the union of St and Si, redefining Su as Su minus Si, and returning to the step of training acoustic and language models if word accuracy has not converged.
摘要翻译：公开了一种训练口语理解模块的系统和方法。这样的模块可以在口语对话系统中使用。训练口语理解模块的方法包括使用一小组转录数据S IN来训练声学和语言模型，识别作为候选语言的候选语言的集合S < 使用声学和语言模型进行转录，计算话语的置信度分数，从S＆lt; U＆gt;中选择具有最小置信度分数的k个话语，并将它们转录成新的集合S < ，重新定义为S＆lt; t＆gt;和S＆lt; i＆lt; i＆lt; i＆gt;的并集，将S 重新定义为S＆lt; 如果字精度没有收敛，则返回到训练声学和语言模型的步骤。

6. 发明授权

US08645122B1 Method of handling frequently asked questions in a natural language dialog service 有权
标题翻译：在自然语言对话服务中处理常见问题的方法
公开(公告)号：US08645122B1
公开(公告)日：2014-02-04
申请号：US10325266
申请日：2002-12-19
申请人： Giuseppe Di Fabbrizio , Dawn L Dutton , Narendra K. Gupta , Barbara B. Hollister , Mazin G Rahim , Giuseppe Riccardi , Robert Elias Schapire , Juergen Schroeter
发明人： Giuseppe Di Fabbrizio , Dawn L Dutton , Narendra K. Gupta , Barbara B. Hollister , Mazin G Rahim , Giuseppe Riccardi , Robert Elias Schapire , Juergen Schroeter
IPC分类号： G06F17/27
CPC分类号： G10L21/00 , G06F17/27 , G10L13/02
摘要： A voice-enabled help desk service is disclosed. The service comprises an automatic speech recognition module for recognizing speech from a user, a spoken language understanding module for understanding the output from the automatic speech recognition module, a dialog management module for generating a response to speech from the user, a natural voices text-to-speech synthesis module for synthesizing speech to generate the response to the user, and a frequently asked questions module. The frequently asked questions module handles frequently asked questions from the user by changing voices and providing predetermined prompts to answer frequently asked questions.
摘要翻译：公开了支持语音的帮助台服务。该服务包括用于识别来自用户的语音的自动语音识别模块，用于理解来自自动语音识别模块的输出的口语语言理解模块，用于生成来自用户对语音的响应的对话管理模块，自然语音文本 - 语音合成模块，用于合成语音以产生对用户的响应，以及常见问题模块。常见问题模块通过改变语音来处理用户的常见问题，并提供预定的提示来回答常见问题。

7. 发明授权

US07869998B1 Voice-enabled dialog system 有权
标题翻译：支持语音的对话系统
公开(公告)号：US07869998B1
公开(公告)日：2011-01-11
申请号：US10325295
申请日：2002-12-19
申请人： Giuseppe Di Fabbrizio , Dawn L Dutton , Narendra K. Gupta , Barbara B. Hollister , Mazin G Rahim , Giuseppe Riccardi , Robert Elias Schapire , Juergen Schroeter
发明人： Giuseppe Di Fabbrizio , Dawn L Dutton , Narendra K. Gupta , Barbara B. Hollister , Mazin G Rahim , Giuseppe Riccardi , Robert Elias Schapire , Juergen Schroeter
IPC分类号： G10L15/04
CPC分类号： G10L15/22 , G10L13/00
摘要： A voice-enabled help desk service is disclosed. The service comprises an automatic speech recognition module for recognizing speech from a user, a spoken language understanding module for understanding the output from the automatic speech recognition module, a dialog management module for generating a response to speech from the user, a natural voices text-to-speech synthesis module for synthesizing speech to generate the response to the user, and a frequently asked questions module. The frequently asked questions module handles frequently asked questions from the user by changing voices and providing predetermined prompts to answer the frequently asked question.
摘要翻译：公开了支持语音的帮助台服务。该服务包括用于识别来自用户的语音的自动语音识别模块，用于理解来自自动语音识别模块的输出的口语语言理解模块，用于生成来自用户对语音的响应的对话管理模块，自然语音文本 - 语音合成模块，用于合成语音以产生对用户的响应，以及常见问题模块。常见问题模块通过改变语音来处理用户的常见问题，并提供预定的提示来回答常见问题。

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