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1. 发明申请

US20060149555A1 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：US20060149555A1
公开(公告)日：2006-07-06
申请号：US11029798
申请日：2005-01-05
申请人： Giuseppe Fabbrizio , Dilek Hakkani-Tur , Mazin Rahim , Bernard Renger , Gokhan Tur
发明人： Giuseppe Fabbrizio , Dilek Hakkani-Tur , Mazin Rahim , Bernard Renger , Gokhan Tur
IPC分类号： G10L21/00
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。

2. 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.

3. 发明申请

US20060190253A1 Unsupervised and active learning in automatic speech recognition for call classification 有权
公开(公告)号：US20060190253A1
公开(公告)日：2006-08-24
申请号：US11063910
申请日：2005-02-23
申请人： Dilek Hakkani-Tur , Mazin Rahim , Giuseppe Riccardi , Gokhan Tur
发明人： Dilek Hakkani-Tur , Mazin Rahim , Giuseppe Riccardi , Gokhan Tur
IPC分类号： G10L15/06
CPC分类号： G10L15/063 , G10L15/07 , G10L15/18 , G10L15/26 , G10L2015/0638
摘要： Utterance data that includes at least a small amount of manually transcribed data is provided. Automatic speech recognition is performed on ones of the utterance data not having a corresponding manual transcription to produce automatically transcribed utterances. A model is trained using all of the manually transcribed data and the automatically transcribed utterances. A predetermined number of utterances not having a corresponding manual transcription are intelligently selected and manually transcribed. Ones of the automatically transcribed data as well as ones having a corresponding manual transcription are labeled. In another aspect of the invention, audio data is mined from at least one source, and a language model is trained for call classification from the mined audio data to produce a language model.

4. 发明申请

US20130218836A1 Deep Linking From Task List Based on Intent 审中-公开
标题翻译：基于意图从任务列表中深入链接
公开(公告)号：US20130218836A1
公开(公告)日：2013-08-22
申请号：US13401876
申请日：2012-02-22
申请人： Anne K. Sullivan , Lisa Stifelman , Kathy Lee , Matt Klee , Larry Paul Heck , Gokhan Tur , Dilek Hakkani-Tur
发明人： Anne K. Sullivan , Lisa Stifelman , Kathy Lee , Matt Klee , Larry Paul Heck , Gokhan Tur , Dilek Hakkani-Tur
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06Q10/109 , G06Q10/06311
摘要： Task list linking may be provided. Upon receiving an input from a user, the input may be translated into at least one actionable item. The at least one actionable item may be linked to a data source and displayed to the user.
摘要翻译：可以提供任务列表链接。一旦接收到来自用户的输入，该输入可被翻译成至少一个可操作的项目。所述至少一个可操作的项目可以链接到数据源并显示给用户。

5. 发明授权

US09454962B2 Sentence simplification for spoken language understanding 有权
标题翻译：语言理解的句子简化
公开(公告)号：US09454962B2
公开(公告)日：2016-09-27
申请号：US13106374
申请日：2011-05-12
申请人： Gokhan Tur , Dilek Hakkani-Tur , Larry Paul Heck , Sarangarajan Parthasarathy
发明人： Gokhan Tur , Dilek Hakkani-Tur , Larry Paul Heck , Sarangarajan Parthasarathy
IPC分类号： G10L15/26 , G06F17/27
CPC分类号： G06F17/2785 , G06F17/271 , G06F17/274 , G10L15/22 , G10L15/26 , G10L2015/223
摘要： Sentence simplification may be provided. A spoken phrase may be received and converted to a text phrase. An intent associated with the text phrase may be identified. The text phrase may then be reformatted according to the identified intent and a task may be performed according to the reformatted text phrase.
摘要翻译：可以提供句子简化。可以接收口头短语并将其转换为文本短语。可以识别与文本短语相关联的意图。然后可以根据所识别的意图重新格式化文本短语，并且可以根据重新格式化的短语来执行任务。

6. 发明授权

US08832064B2 Answer determination for natural language questioning 有权
标题翻译：回答自然语言提问的决心
公开(公告)号：US08832064B2
公开(公告)日：2014-09-09
申请号：US11319188
申请日：2005-12-28
申请人： Svetlana Stenchikova , Gokhan Tur , Dilek Hakkani Tur
发明人： Svetlana Stenchikova , Gokhan Tur , Dilek Hakkani Tur
IPC分类号： G06F7/00 , G06F17/30 , G06F17/27
CPC分类号： G06F17/30401 , G06F17/279 , G06F17/30657 , G06F17/30864
摘要： Open-domain question answering is the task of finding a concise answer to a natural language question using a large domain, such as the Internet. The use of a semantic role labeling approach to the extraction of the answers to an open domain factoid (Who/When/What/Where) natural language question that contains a predicate is described. Semantic role labeling identities predicates and semantic argument phrases in the natural language question and the candidate sentences. When searching for an answer to a natural language question, the missing argument in the question is matched using semantic parses of the candidate answers. Such a technique may improve the accuracy of a question answering system and may decrease the length of answers for enabling voice interface to a question answering system.
摘要翻译：开放域问答是使用大型域（如互联网）找到一个简明的自然语言问题答案的任务。描述了使用语义角色标注方法来提取对包含谓词的开放域factoid（Who / When / What / Where）自然语言问题的答案。自然语言问题和候选句子中的语义角色标识身份谓词和语义参数短语。在搜索自然语言问题的答案时，使用候选答案的语义分析来匹配问题中的缺失参数。这样的技术可以提高问答系统的准确性，并且可以减少用于启用语音接口到问答系统的答案的长度。

7. 发明申请

US20120290290A1 Sentence Simplification for Spoken Language Understanding 有权
标题翻译：语言理解的句子简化
公开(公告)号：US20120290290A1
公开(公告)日：2012-11-15
申请号：US13106374
申请日：2011-05-12
申请人： Gokhan Tur , Dilek Hakkani-Tur , Larry Paul Heck , Sarangarajan Parthasarathy
发明人： Gokhan Tur , Dilek Hakkani-Tur , Larry Paul Heck , Sarangarajan Parthasarathy
IPC分类号： G06F17/27 , G10L15/26
CPC分类号： G06F17/2785 , G06F17/271 , G06F17/274 , G10L15/22 , G10L15/26 , G10L2015/223
摘要： Sentence simplification may be provided. A spoken phrase may be received and converted to a text phrase. An intent associated with the text phrase may be identified. The text phrase may then be reformatted according to the identified intent and a task may be performed according to the reformatted text phrase.
摘要翻译：可以提供句子简化。可以接收口头短语并将其转换为文本短语。可以识别与文本短语相关联的意图。然后可以根据所识别的意图重新格式化文本短语，并且可以根据重新格式化的短语来执行任务。

8. 发明申请

US20070041522A1 System and method for integrating and managing E-mail, voicemail, and telephone conversations using speech processing techniques 有权
标题翻译：使用语音处理技术集成和管理电子邮件，语音信箱和电话对话的系统和方法
公开(公告)号：US20070041522A1
公开(公告)日：2007-02-22
申请号：US11207972
申请日：2005-08-19
申请人： Alicia Abella , Brian Amento , Dilek Hakkani-Tur , Larry Stead , Gokhan Tur , Jay Wilpon , Jeremy Wright
发明人： Alicia Abella , Brian Amento , Dilek Hakkani-Tur , Larry Stead , Gokhan Tur , Jay Wilpon , Jeremy Wright
IPC分类号： H04M11/00
CPC分类号： H04M3/5307 , H04M2201/40 , H04M2201/60 , H04M2203/4509
摘要： A system and a method are provided. A textual transcript of a recorded voice communication is received. Text from a non-voice communication is received. Information about the textual transcript of the recorded voice communication and the text from the non-voice communication is provided such that a user can manage a group of communications, based at least in part on the textual transcript of the recorded voice communication and the text from the non-voice communication.
摘要翻译：提供了一种系统和方法。接收录制的语音通信的文本记录。接收到非语音通信的文本。提供关于记录的语音通信的文本记录和来自非语音通信的文本的信息，使得用户可以至少部分地基于所记录的语音通信的文本记录和文本来管理一组通信，非语音通信。

9. 发明申请

US20120290509A1 Training Statistical Dialog Managers in Spoken Dialog Systems With Web Data 审中-公开
标题翻译：使用Web数据训练口语对话系统中的统计对话管理器
公开(公告)号：US20120290509A1
公开(公告)日：2012-11-15
申请号：US13234186
申请日：2011-09-16
申请人： Larry Paul Heck , Dilek Hakkani-Tur , Rukmini Iyer , Gokhan Tur
发明人： Larry Paul Heck , Dilek Hakkani-Tur , Rukmini Iyer , Gokhan Tur
IPC分类号： G10L11/00 , G06F15/18
CPC分类号： G10L15/06 , G10L15/22
摘要： Training for a statistical dialog manager may be provided. A plurality of log data associated with an intent may be received, and at least one step associated with completing the intent according to the plurality of log data may be identified. An understanding model associated with the intent may be created, including a plurality of queries mapped to the intent. In response to receiving a natural language query from a user that is associated with the intent a response to the user may be provided according to the understanding model.
摘要翻译：可以提供统计对话管理员的训练。可以接收与意图相关联的多个日志数据，并且可以识别与根据多个日志数据完成意图相关联的至少一个步骤。可以创建与意图相关联的理解模型，包括映射到意图的多个查询。响应于从用户接收到与意图相关联的自然语言查询，可以根据理解模型提供对用户的响应。

10. 发明申请

US20120290293A1 Exploiting Query Click Logs for Domain Detection in Spoken Language Understanding 审中-公开
标题翻译：利用查询单击日志进行域名检测在口语中的理解
公开(公告)号：US20120290293A1
公开(公告)日：2012-11-15
申请号：US13234202
申请日：2011-09-16
申请人： Dilek Hakkani-Tur , Larry Paul Heck , Gokhan Tur
发明人： Dilek Hakkani-Tur , Larry Paul Heck , Gokhan Tur
IPC分类号： G06F17/27
CPC分类号： G06F16/951 , G06F16/3338
摘要： Domain detection training in a spoken language understanding system may be provided. Log data associated with a search engine, each associated with a search query, may be received. A domain label for each search query may be identified and the domain label and link data may be provided to a training set for a spoken language understanding model.
摘要翻译：可以提供口语理解系统中的域检测训练。可以接收与搜索引擎相关联的每个与搜索查询相关联的日志数据。可以识别每个搜索查询的域标签，并且可以将域标签和链接数据提供给用于口语语言理解模型的训练集。

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