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1. 发明授权

US08478589B2 Library of existing spoken dialog data for use in generating new natural language spoken dialog systems 有权
标题翻译：用于生成新的自然语言对话系统的现有口语对话数据库
公开(公告)号：US08478589B2
公开(公告)日：2013-07-02
申请号：US11029319
申请日：2005-01-05
申请人： Lee Begeja , Giuseppe Di Fabbrizio , David Crawford Gibbon , Dilek Z. Hakkani-Tur , Zhu Liu , Bernard S. Renger , Behzad Shahraray , Gokhan Tur
发明人： Lee Begeja , Giuseppe Di Fabbrizio , David Crawford Gibbon , Dilek Z. Hakkani-Tur , Zhu Liu , Bernard S. Renger , Behzad Shahraray , Gokhan Tur
IPC分类号： G10L15/00
CPC分类号： G10L15/1815 , G10L15/063 , G10L15/22 , G10L15/28 , G10L25/48
摘要： A machine-readable medium may include a group of reusable components for building a spoken dialog system. The reusable components may include a group of previously collected audible utterances. A machine-implemented method to build a library of reusable components for use in building a natural language spoken dialog system may include storing a dataset in a database. The dataset may include a group of reusable components for building a spoken dialog system. The reusable components may further include a group of previously collected audible utterances. A second method may include storing at least one set of data. Each one of the at least one set of data may include ones of the reusable components associated with audible data collected during a different collection phase.
摘要翻译：机器可读介质可以包括用于构建口语对话系统的一组可重复使用的组件。可重复使用的组件可以包括一组先前收集的可听话语。用于构建用于构建自然语言对话系统的可重用组件库的机器实现的方法可以包括将数据集存储在数据库中。数据集可以包括一组用于构建口语对话系统的可重复使用的组件。可重复使用的组件还可以包括一组先前收集的可听话语。第二种方法可以包括存储至少一组数据。所述至少一组数据中的每一个可以包括与在不同收集阶段期间收集的可听数据相关联的可重用组件中的一个。

2. 发明授权

US08185399B2 System and method of providing an automated data-collection in spoken dialog systems 有权
标题翻译：在口头对话系统中提供自动数据收集的系统和方法
公开(公告)号：US08185399B2
公开(公告)日：2012-05-22
申请号：US11029798
申请日：2005-01-05
申请人： Giuseppe Di Fabbrizio , Dilek Z. Hakkani-Tur , Mazin G. Rahim , Bernard S. Renger , Gokhan Tur
发明人： Giuseppe Di Fabbrizio , Dilek Z. Hakkani-Tur , Mazin G. Rahim , Bernard S. Renger , Gokhan Tur
IPC分类号： G10L21/00 , G10L19/00 , G06F17/27
CPC分类号： G10L15/063 , G10L15/183 , G10L15/22
摘要： The invention relates to a system and method for gathering data for use in a spoken dialog system. An aspect of the invention is generally referred to as an automated hidden human that performs data collection automatically at the beginning of a conversation with a user in a spoken dialog system. The method comprises presenting an initial prompt to a user, recognizing a received user utterance using an automatic speech recognition engine and classifying the recognized user utterance using a spoken language understanding module. If the recognized user utterance is not understood or classifiable to a predetermined acceptance threshold, then the method re-prompts the user. If the recognized user utterance is not classifiable to a predetermined rejection threshold, then the method transfers the user to a human as this may imply a task-specific utterance. The received and classified user utterance is then used for training the spoken dialog system.
摘要翻译：本发明涉及一种用于收集在口头对话系统中使用的数据的系统和方法。本发明的一个方面通常被称为在与对话系统中的用户的对话开始时自动执行数据收集的自动隐藏人。该方法包括向用户呈现初始提示，使用自动语音识别引擎识别接收到的用户话语，并使用口语理解模块对所识别的用户话语进行分类。如果识别的用户话语不能被理解或可被分类到预定的接受阈值，则该方法重新提示用户。如果识别的用户话语不能被分类为预定的拒绝阈值，则该方法将用户转移给人，因为这可能意味着任务特定的话语。然后，接收和分类的用户话语用于训练口语对话系统。

3. 发明申请

US20120232898A1 SYSTEM AND METHOD OF PROVIDING AN AUTOMATED DATA-COLLECTION IN SPOKEN DIALOG SYSTEMS 有权
标题翻译：系统和方法提供自动数据收集在风扇对话系统
公开(公告)号：US20120232898A1
公开(公告)日：2012-09-13
申请号：US13476150
申请日：2012-05-21
申请人： Giuseppe Di Fabbrizio , Dilek Z. Hakkani-Tur , Mazin G. Rahim , Bernard S. Renger , Gokhan Tur
发明人： Giuseppe Di Fabbrizio , Dilek Z. Hakkani-Tur , Mazin G. Rahim , Bernard S. Renger , Gokhan Tur
IPC分类号： G10L15/26 , G10L15/04
CPC分类号： G10L15/063 , G10L15/183 , G10L15/22
摘要： The invention relates to a system and method for gathering data for use in a spoken dialog system. An aspect of the invention is generally referred to as an automated hidden human that performs data collection automatically at the beginning of a conversation with a user in a spoken dialog system. The method comprises presenting an initial prompt to a user, recognizing a received user utterance using an automatic speech recognition engine and classifying the recognized user utterance using a spoken language understanding module. If the recognized user utterance is not understood or classifiable to a predetermined acceptance threshold, then the method re-prompts the user. If the recognized user utterance is not classifiable to a predetermined rejection threshold, then the method transfers the user to a human as this may imply a task-specific utterance. The received and classified user utterance is then used for training the spoken dialog system.
摘要翻译：本发明涉及一种用于收集在口头对话系统中使用的数据的系统和方法。本发明的一个方面通常被称为在与对话系统中的用户的对话开始时自动执行数据收集的自动隐藏人。该方法包括向用户呈现初始提示，使用自动语音识别引擎识别接收到的用户话语，并使用口语理解模块对所识别的用户话语进行分类。如果识别的用户话语不能被理解或可被分类到预定的接受阈值，则该方法重新提示用户。如果识别的用户话语不能被分类为预定的拒绝阈值，则该方法将用户转移给人，因为这可能意味着任务特定的话语。然后，接收和分类的用户话语用于训练口语对话系统。

4. 发明授权

US08694324B2 System and method of providing an automated data-collection in spoken dialog systems 有权
公开(公告)号：US08694324B2
公开(公告)日：2014-04-08
申请号：US13476150
申请日：2012-05-21
申请人： Giuseppe Di Fabbrizio , Dilek Z. Hakkani-Tur , Mazin G. Rahim , Bernard S. Renger , Gokhan Tur
发明人： Giuseppe Di Fabbrizio , Dilek Z. Hakkani-Tur , Mazin G. Rahim , Bernard S. Renger , Gokhan Tur
IPC分类号： G10L21/00 , G10L19/00 , G06F17/27
CPC分类号： G10L15/063 , G10L15/183 , G10L15/22
摘要： The invention relates to a system and method for gathering data for use in a spoken dialog system. An aspect of the invention is generally referred to as an automated hidden human that performs data collection automatically at the beginning of a conversation with a user in a spoken dialog system. The method comprises presenting an initial prompt to a user, recognizing a received user utterance using an automatic speech recognition engine and classifying the recognized user utterance using a spoken language understanding module. If the recognized user utterance is not understood or classifiable to a predetermined acceptance threshold, then the method re-prompts the user. If the recognized user utterance is not classifiable to a predetermined rejection threshold, then the method transfers the user to a human as this may imply a task-specific utterance. The received and classified user utterance is then used for training the spoken dialog system.

5. 发明申请

US20060149554A1 Library of existing spoken dialog data for use in generating new natural language spoken dialog systems 有权
公开(公告)号：US20060149554A1
公开(公告)日：2006-07-06
申请号：US11029319
申请日：2005-01-05
申请人： Lee Begeja , Giuseppe Fabbrizio , David Gibbon , Dilek Hakkani-Tur , Zhu Liu , Bernard Renger , Behzad Shahraray , Gokhan Tur
发明人： Lee Begeja , Giuseppe Fabbrizio , David Gibbon , Dilek Hakkani-Tur , Zhu Liu , Bernard Renger , Behzad Shahraray , Gokhan Tur
IPC分类号： G10L21/00
CPC分类号： G10L15/1815 , G10L15/063 , G10L15/22 , G10L15/28 , G10L25/48
摘要： A machine-readable medium may include a group of reusable components for building a spoken dialog system. The reusable components may include a group of previously collected audible utterances. A machine-implemented method to build a library of reusable components for use in building a natural language spoken dialog system may include storing a dataset in a database. The dataset may include a group of reusable components for building a spoken dialog system. The reusable components may further include a group of previously collected audible utterances. A second method may include storing at least one set of data. Each one of the at least one set of data may include ones of the reusable components associated with audible data collected during a different collection phase.

6. 发明授权

US07949525B2 Active labeling for spoken language understanding 有权
标题翻译：积极标注口语理解
公开(公告)号：US07949525B2
公开(公告)日：2011-05-24
申请号：US12485103
申请日：2009-06-16
申请人： Dilek Z. Hakkani-Tur , Mazin G. Rahim , Gokhan Tur
发明人： Dilek Z. Hakkani-Tur , Mazin G. Rahim , Gokhan Tur
IPC分类号： G10L15/00 , G10L15/06 , G10L15/20
CPC分类号： G10L15/1822
摘要： A spoken language understanding method and system are provided. The method includes classifying a set of labeled candidate utterances based on a previously trained classifier, generating classification types for each candidate utterance, receiving confidence scores for the classification types from the trained classifier, sorting the classified utterances based on an analysis of the confidence score of each candidate utterance compared to a respective label of the candidate utterance, and rechecking candidate utterances according to the analysis. The system includes modules configured to control a processor in the system to perform the steps of the method.
摘要翻译：提供口语理解方法和系统。该方法包括基于先前训练的分类器对一组标记的候选话语进行分类，为每个候选语音生成分类类型，从训练分类器接收分类类型的置信度分数，每个候选话语与候选话语的相应标签相比较，并且根据分析重新检查候选话语。该系统包括被配置为控制系统中的处理器以执行该方法的步骤的模块。

7. 发明授权

US07742911B2 Apparatus and method for spoken language understanding by using semantic role labeling 有权
标题翻译：通过使用语义角色标注来进行口语理解的装置和方法
公开(公告)号：US07742911B2
公开(公告)日：2010-06-22
申请号：US11095299
申请日：2005-03-31
申请人： Ananlada Chotimongkol , Dilek Z. Hakkani-Tur , Gokhan Tur
发明人： Ananlada Chotimongkol , Dilek Z. Hakkani-Tur , Gokhan Tur
IPC分类号： G06F17/28
CPC分类号： G06F17/278 , G06F17/2785 , G10L15/1822 , G10L15/22
摘要： An apparatus and a method are provided for using semantic role labeling for spoken language understanding. A received utterance semantically parsed by semantic role labeling. A predicate or at least one argument is extracted from the semantically parsed utterance. An intent is estimated based on the predicate or the at least one argument. In another aspect, a method is provided for training a spoken language dialog system that uses semantic role labeling. An expert is provided with a group of predicate/argument pairs. Ones of the predicate/argument pairs are selected as intents. Ones of the arguments are selected as named entities. Mappings from the arguments to frame slots are designed.
摘要翻译：提供了一种使用语义角色标识来进行语言理解的装置和方法。被语义角色标注语义解析的语音接收语句。从语义解析的话语中提取谓词或至少一个参数。根据谓词或至少一个参数估计意图。另一方面，提供了一种用于训练使用语义角色标注的口语对话系统的方法。专家提供了一组谓词/参数对。谓词/参数对的一部分被选为意图。参数的一部分被选为命名实体。从框架插槽的参数映射被设计。

8. 发明授权

US07571098B1 System and method of spoken language understanding using word confusion networks 有权
标题翻译：使用词混淆网络的口语理解的系统和方法
公开(公告)号：US07571098B1
公开(公告)日：2009-08-04
申请号：US10448149
申请日：2003-05-29
申请人： Allen Louis Gorin , Dilek Z. Hakkani-Tur , Giuseppe Riccardi , Gokhan Tur , Jeremy Huntley Wright
发明人： Allen Louis Gorin , Dilek Z. Hakkani-Tur , Giuseppe Riccardi , Gokhan Tur , Jeremy Huntley Wright
IPC分类号： G10L15/18 , G10L15/00 , G10L15/06 , G10L15/28 , G06F17/27
CPC分类号： G10L15/1822 , G06F17/2775 , G10L15/08
摘要： Word lattices that are generated by an automatic speech recognition system are used to generate a modified word lattice that is usable by a spoken language understanding module. In one embodiment, the spoken language understanding module determines a set of salient phrases by calculating an intersection of the modified word lattice, which is optionally preprocessed, and a finite state machine that includes a plurality of salient grammar fragments.
摘要翻译：由自动语音识别系统生成的词格子用于生成可由口头语言理解模块使用的修改词格。在一个实施例中，口语理解模块通过计算可选地预处理的修改字格点和包括多个显着语法片段的有限状态机的交集来确定一组显着短语。

9. 发明授权

US07562014B1 Active learning process for spoken dialog systems 有权
标题翻译：口语对话系统的主动学习过程
公开(公告)号：US07562014B1
公开(公告)日：2009-07-14
申请号：US11862008
申请日：2007-09-26
申请人： Dilek Z Hakkani-Tur , Mazin G Rahim , Giuseppe Riccardi , Gokhan Tur
发明人： Dilek Z Hakkani-Tur , Mazin G Rahim , Giuseppe Riccardi , Gokhan Tur
IPC分类号： G06F17/27 , G10L15/00
CPC分类号： G06F17/2775 , G06F17/277 , G10L2015/0631
摘要： A large amount of human labor is required to transcribe and annotate a training corpus that is needed to create and update models for automatic speech recognition (ASR) and spoken language understanding (SLU). Active learning enables a reduction in the amount of transcribed and annotated data required to train ASR and SLU models. In one aspect of the present invention, an active learning ASR process and active learning SLU process are coupled, thereby enabling further efficiencies to be gained relative to a process that maintains an isolation of data in both the ASR and SLU domains.
摘要翻译：需要大量的人力劳动来转录和注释创建和更新自动语音识别（ASR）和语言理解（SLU）模型所需的训练语料库。主动学习可以减少训练ASR和SLU模型所需的转录和注释数据量。在本发明的一个方面，耦合主动学习ASR过程和主动学习SLU过程，从而相对于维持ASR和SLU域中的数据隔离的过程而获得进一步的效率。

10. 发明授权

US09098494B2 Building multi-language processes from existing single-language processes 有权
标题翻译：从现有的单一语言流程构建多语言流程
公开(公告)号：US09098494B2
公开(公告)日：2015-08-04
申请号：US13469078
申请日：2012-05-10
申请人： Ruhi Sarikaya , Daniel Boies , Fethiye Asli Celikyilmaz , Anoop K. Deoras , Dustin Rigg Hillard , Dilek Z. Hakkani-Tur , Gokhan Tur , Fileno A. Alleva
发明人： Ruhi Sarikaya , Daniel Boies , Fethiye Asli Celikyilmaz , Anoop K. Deoras , Dustin Rigg Hillard , Dilek Z. Hakkani-Tur , Gokhan Tur , Fileno A. Alleva
IPC分类号： G06F17/28 , G06F17/27 , G10L15/00 , G10L17/00
CPC分类号： G06F17/289
摘要： Processes capable of accepting linguistic input in one or more languages are generated by re-using existing linguistic components associated with a different anchor language, together with machine translation components that translate between the anchor language and the one or more languages. Linguistic input is directed to machine translation components that translate such input from its language into the anchor language. Those existing linguistic components are then utilized to initiate responsive processing and generate output. Optionally, the output is directed through the machine translation components. A language identifier can initially receive linguistic input and identify the language within which such linguistic input is provided to select an appropriate machine translation component. A hybrid process, comprising machine translation components and linguistic components associated with the anchor language, can also serve as an initiating construct from which a single language process is created over time.
摘要翻译：能够以一种或多种语言接受语言输入的过程通过重新使用与不同锚语言相关联的现有语言组件以及在锚语言和一种或多种语言之间进行翻译的机器翻译组件而产生。语言输入针对机器翻译组件，将这种输入从其语言转换为锚语言。然后利用那些现有的语言分量来启动响应处理并产生输出。可选地，输出被引导通过机器翻译组件。语言标识符可以最初接收语言输入并且识别提供这种语言输入以选择适当的机器翻译组件的语言。包括与锚语言相关联的机器翻译组件和语言组件的混合过程也可以用作随时间创建单个语言过程的起始构造。

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