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1. 发明授权

US08433558B2 Methods and systems for natural language understanding using human knowledge and collected data 有权
标题翻译：使用人类知识和收集数据进行自然语言理解的方法和系统
公开(公告)号：US08433558B2
公开(公告)日：2013-04-30
申请号：US11188825
申请日：2005-07-25
申请人： Srinivas Bangalore , Mazin Gilbert , Narendra K. Gupta
发明人： Srinivas Bangalore , Mazin Gilbert , Narendra K. Gupta
IPC分类号： G06F17/20 , G06F17/27 , G06F17/21 , G10L15/28 , G10L15/18 , G10L15/14 , G10L21/00
CPC分类号： G10L15/183 , G06F17/2818 , G10L15/14 , G10L15/19
摘要： Disclosed herein are systems and methods to incorporate human knowledge when developing and using statistical models for natural language understanding. The disclosed systems and methods embrace a data-driven approach to natural language understanding which progresses seamlessly along the continuum of availability of annotated collected data, from when there is no available annotated collected data to when there is any amount of annotated collected data.
摘要翻译：这里公开的是在开发和使用自然语言理解的统计模型时将人类知识结合在一起的系统和方法。所公开的系统和方法包含一种数据驱动的自然语言理解方法，其从注释收集的数据的可用性的连续性无缝地进行，从没有可用的注释收集的数据到当有任何数量的注释收集的数据时。

2. 发明授权

US08849648B1 System and method of extracting clauses for spoken language understanding 有权
公开(公告)号：US08849648B1
公开(公告)日：2014-09-30
申请号：US10329138
申请日：2002-12-24
申请人： Srinivas Bangalore , Narendra K. Gupta , Mazin G. Rahim
发明人： Srinivas Bangalore , Narendra K. Gupta , Mazin G. Rahim
IPC分类号： G06F17/27
CPC分类号： G06F17/2705 , G06F17/218 , G06F17/27 , G06F17/2775 , G10L15/05 , G10L15/26 , G10L2015/025 , G10L2015/081 , G10L2015/088
摘要： A clausifier and method of extracting clauses for spoken language understanding are disclosed. The method relates to generating a set of clauses from speech utterance text and comprises inserting at least one boundary tag in speech utterance text related to sentence boundaries, inserting at least one edit tag indicating a portion of the speech utterance text to remove, and inserting at least one conjunction tag within the speech utterance text. The result is a set of clauses that may be identified within the speech utterance text according to the inserted at least one boundary tag, at least one edit tag and at least one conjunction tag. The disclosed clausifier comprises a sentence boundary classifier, an edit detector classifier, and a conjunction detector classifier. The clausifier may comprise a single classifier or a plurality of classifiers to perform the steps of identifying sentence boundaries, editing text, and identifying conjunctions within the text.

3. 发明授权

US08818793B1 System and method of extracting clauses for spoken language understanding 有权
标题翻译：提取语言理解条款的系统和方法
公开(公告)号：US08818793B1
公开(公告)日：2014-08-26
申请号：US10446489
申请日：2003-05-28
申请人： Srinivas Bangalore , Narendra K. Gupta , Mazin G Rahim
发明人： Srinivas Bangalore , Narendra K. Gupta , Mazin G Rahim
IPC分类号： G06F17/27
CPC分类号： G10L15/063 , G06F17/271 , G06F17/277 , G10L2015/0635
摘要： A clausifier and method of extracting clauses for spoken language understanding are disclosed. The method relates to generating a set of clauses from speech utterance text and comprises inserting at least one boundary tag in speech utterance text related to sentence boundaries, inserting at least one edit tag indicating a portion of the speech utterance text to remove, and inserting at least one conjunction tag within the speech utterance text. The result is a set of clauses that may be identified within the speech utterance text according to the inserted at least one boundary tag, at least one edit tag and at least one conjunction tag. The disclosed clausifier comprises a sentence boundary classifier, an edit detector classifier, and a conjunction detector classifier. The clausifier may comprise a single classifier or a plurality of classifiers to perform the steps of identifying sentence boundaries, editing text, and identifying conjunctions within the text.
摘要翻译：公开了一种提取语言理解条款的分类器和方法。该方法涉及从语音话语文本生成一组子句，并且包括在与句子边界相关的语音话语文本中插入至少一个边界标签，插入至少一个编辑标签，该编辑标签指示语音话语文本的一部分以去除并插入讲话话语文本内的至少一个连接标签。结果是可以根据插入的至少一个边界标签，至少一个编辑标签和至少一个连接标签在语音发音文本内识别的一组子句。所公开的分类器包括句子边界分类器，编辑检测器分类器和连接检测器分类器。克隆器可以包括单个分类器或多个分类器，以执行识别句子边界，编辑文本以及识别文本内的连词的步骤。

4. 发明申请

US20120239383A1 SYSTEM AND METHOD OF SPOKEN LANGUAGE UNDERSTANDING IN HUMAN COMPUTER DIALOGS 有权
标题翻译：人类语言对话中语言语言理解的系统与方法
公开(公告)号：US20120239383A1
公开(公告)日：2012-09-20
申请号：US13481031
申请日：2012-05-25
申请人： Srinivas Bangalore , Narendra K. Gupta , Mazin G. Rahim
发明人： Srinivas Bangalore , Narendra K. Gupta , Mazin G. Rahim
IPC分类号： G06F17/27 , G10L15/00
CPC分类号： G10L15/1815 , G06F17/2785 , G10L13/043 , G10L15/02 , G10L15/1822 , G10L15/265
摘要： A system and method are disclosed that improve automatic speech recognition in a spoken dialog system. The method comprises partitioning speech recognizer output into self-contained clauses, identifying a dialog act in each of the self-contained clauses, qualifying dialog acts by identifying a current domain object and/or a current domain action, and determining whether further qualification is possible for the current domain object and/or current domain action. If further qualification is possible, then the method comprises identifying another domain action and/or another domain object associated with the current domain object and/or current domain action, reassigning the another domain action and/or another domain object as the current domain action and/or current domain object and then recursively qualifying the new current domain action and/or current object. This process continues until nothing is left to qualify.
摘要翻译：公开了一种提高口语对话系统中的自动语音识别的系统和方法。该方法包括将语音识别器输出划分为独立子句，识别每个自包含子句中的对话行为，通过识别当前域对象和/或当前域动作进行限定对话行为，以及确定是否可进行进一步的限定对于当前域对象和/或当前域操作。如果可以进一步鉴定，则该方法包括识别与当前域对象和/或当前域操作相关联的另一域操作和/或另一域对象，将另一域操作和/或另一域对象重新分配为当前域操作，以及 /或当前域对象，然后递归地限定新的当前域操作和/或当前对象。这个过程一直持续到没有什么是剩下的资格。

5. 发明授权

US08386262B2 System and method of spoken language understanding in human computer dialogs 有权
公开(公告)号：US08386262B2
公开(公告)日：2013-02-26
申请号：US13481031
申请日：2012-05-25
申请人： Srinivas Bangalore , Narendra K. Gupta , Mazin G. Rahim
发明人： Srinivas Bangalore , Narendra K. Gupta , Mazin G. Rahim
IPC分类号： G10L21/00 , G06F17/20 , G06F17/27
CPC分类号： G10L15/1815 , G06F17/2785 , G10L13/043 , G10L15/02 , G10L15/1822 , G10L15/265
摘要： A system and method are disclosed that improve automatic speech recognition in a spoken dialog system. The method comprises partitioning speech recognizer output into self-contained clauses, identifying a dialog act in each of the self-contained clauses, qualifying dialog acts by identifying a current domain object and/or a current domain action, and determining whether further qualification is possible for the current domain object and/or current domain action. If further qualification is possible, then the method comprises identifying another domain action and/or another domain object associated with the current domain object and/or current domain action, reassigning the another domain action and/or another domain object as the current domain action and/or current domain object and then recursively qualifying the new current domain action and/or current object. This process continues until nothing is left to qualify.

6. 发明授权

US08190436B2 System and method of spoken language understanding in human computer dialogs 有权
标题翻译：在人机对话中口语理解的系统和方法
公开(公告)号：US08190436B2
公开(公告)日：2012-05-29
申请号：US10310596
申请日：2002-12-05
申请人： Srinivas Bangalore , Narendra K. Gupta , Mazin G Rahim
发明人： Srinivas Bangalore , Narendra K. Gupta , Mazin G Rahim
IPC分类号： G10L21/00 , G06F17/20 , G06F17/27
CPC分类号： G10L15/1815 , G06F17/2785 , G10L13/043 , G10L15/02 , G10L15/1822 , G10L15/265
摘要： A system and method are disclosed that improve automatic speech recognition in a spoken dialog system. The method comprises partitioning speech recognizer output into self-contained clauses, identifying a dialog act in each of the self-contained clauses, qualifying dialog acts by identifying a current domain object and/or a current domain action, and determining whether further qualification is possible for the current domain object and/or current domain action. If further qualification is possible, then the method comprises identifying another domain action and/or another domain object associated with the current domain object and/or current domain action, reassigning the another domain action and/or another domain object as the current domain action and/or current domain object and then recursively qualifying the new current domain action and/or current object. This process continues until nothing is left to qualify.
摘要翻译：公开了一种提高口语对话系统中的自动语音识别的系统和方法。该方法包括将语音识别器输出划分为独立子句，识别每个自包含子句中的对话行为，通过识别当前域对象和/或当前域动作进行限定对话行为，以及确定是否可进一步限定对于当前域对象和/或当前域操作。如果可以进一步鉴定，则该方法包括识别与当前域对象和/或当前域操作相关联的另一域操作和/或另一域对象，将另一域操作和/或另一域对象重新分配为当前域操作，以及 /或当前域对象，然后递归地限定新的当前域操作和/或当前对象。这个过程一直持续到没有什么是剩下的资格。

7. 发明授权

US08214441B2 System and method for optimizing response handling time and customer satisfaction scores 有权
标题翻译：优化响应处理时间和客户满意度分数的系统和方法
公开(公告)号：US08214441B2
公开(公告)日：2012-07-03
申请号：US12019821
申请日：2008-01-25
申请人： Srinivas Bangalore , Mazin Gilbert
发明人： Srinivas Bangalore , Mazin Gilbert
IPC分类号： G06F15/16
CPC分类号： H04L51/02 , G06Q10/06 , G06Q10/06311 , G06Q10/063112 , G06Q30/0207 , G06Q30/0245
摘要： A system and method disclosed for using and updating a database of template responses for a live agent in response to user communications. The method includes computing an average string distance between each response from a live agent and a template, use to generate the response, modifying the computed average string distance based on a customer satisfaction score associated with each response and selecting a response that minimizes the computed average string distance and maximizes customer satisfaction. Upon receiving a further communication on a certain issue, the system presents a prototype response that has been added to the template database to the live agent for use in generating a response to the further communication that reduces handling time and increases customer satisfaction.
摘要翻译：公开了用于响应于用户通信使用和更新活动代理的模板响应的数据库的系统和方法。该方法包括计算来自活动代理和模板的每个响应之间的平均字符串距离，用于生成响应，基于与每个响应相关联的客户满意度得分修改所计算的平均字符串距离，并且选择使计算出的平均值最小化的响应弦距，并最大化客户满意度。在一个特定的问题上接收到进一步的通信之后，系统呈现已经被添加到模板数据库中的实时代理的原型响应，用于产生对进一步通信的响应，这减少了处理时间并提高了客户满意度。

8. 发明授权

US08161057B2 Method and apparatus for detecting and extracting information from dynamically generated web pages 有权
标题翻译：用于从动态生成的网页中检测和提取信息的方法和装置
公开(公告)号：US08161057B2
公开(公告)日：2012-04-17
申请号：US13007931
申请日：2011-01-17
申请人： Srinivas Bangalore , Junlan Feng , Mazin Gilbert
发明人： Srinivas Bangalore , Junlan Feng , Mazin Gilbert
IPC分类号： G06F17/30
CPC分类号： G06F17/3089
摘要： A method and apparatus for automatically detecting and extracting information from dynamically generated web pages are disclosed. For example, the present method stores user provided information that is entered into a form interface of a web page for a first query. Responsive to the first query, a first response web page is received and stored. The present method then automatically generates a second query to acquire a second response web page that is responsive to the second query. Finally, the present method compares the first response web page and the second response web page. In one embodiment, the present invention extracts information that is dissimilar between the first response web page and the second response web page. This extracted information is deemed to be the pertinent information requested by the user.
摘要翻译：公开了一种用于从动态生成的网页自动检测和提取信息的方法和装置。例如，本方法将用户提供的信息存储到用于第一查询的网页的表单界面中。响应于第一个查询，收到并存储第一个响应网页。本方法然后自动生成第二查询以获取响应于第二查询的第二响应网页。最后，本方法比较第一响应网页和第二响应网页。在一个实施例中，本发明提取在第一响应网页和第二响应网页之间不相似的信息。该提取的信息被认为是用户请求的相关信息。

9. 发明授权

US07949646B1 Method and apparatus for building sales tools by mining data from websites 失效
标题翻译：通过网站挖掘数据建立销售工具的方法和设备
公开(公告)号：US07949646B1
公开(公告)日：2011-05-24
申请号：US11318183
申请日：2005-12-23
申请人： Srinivas Bangalore , Junlan Feng , Mazin Gilbert , Jay Gordon Wilpon
发明人： Srinivas Bangalore , Junlan Feng , Mazin Gilbert , Jay Gordon Wilpon
IPC分类号： G06F17/30
CPC分类号： G06F17/2235 , G06Q30/02 , G06Q30/06
摘要： A website mining tool is disclosed that extracts information from, for example, a company's website and presents the extracted information in a graphical user interface (GUI). In one embodiment, web pages from a website are stored in, for example, computer memory and a structure of the web pages is identified. A plurality of blocks of information is then extracted as a function of this structure and a category is assigned to each block of information. The elements in the blocks of information are then displayed, for example to a salesperson, as a function of these categories. In another embodiment, Document Object Modeling parsing is used to identify the structure of the web pages. In yet another embodiment, a support vector machine is used to categorize each block of information.
摘要翻译：公开了一种网站挖掘工具，其提取例如公司网站的信息，并将所提取的信息呈现在图形用户界面（GUI）中。在一个实施例中，来自网站的网页被存储在例如计算机存储器中，并且识别网页的结构。然后根据该结构提取多个信息块，并将类别分配给每个信息块。然后，作为这些类别的函数，将信息块中的元素显示为例如销售人员。在另一个实施例中，文档对象建模解析用于识别网页的结构。在另一个实施例中，支持向量机用于对每个信息块进行分类。

10. 发明授权

US08812321B2 System and method for combining speech recognition outputs from a plurality of domain-specific speech recognizers via machine learning 有权
标题翻译：用于通过机器学习来组合来自多个领域特定语音识别器的语音识别输出的系统和方法
公开(公告)号：US08812321B2
公开(公告)日：2014-08-19
申请号：US12895359
申请日：2010-09-30
申请人： Mazin Gilbert , Srinivas Bangalore , Patrick Haffner , Robert Bell
发明人： Mazin Gilbert , Srinivas Bangalore , Patrick Haffner , Robert Bell
IPC分类号： G10L15/08 , G10L15/32
CPC分类号： G10L15/32 , G10L15/063 , G10L15/26 , G10L2015/0638
摘要： Disclosed herein are systems, methods and non-transitory computer-readable media for performing speech recognition across different applications or environments without model customization or prior knowledge of the domain of the received speech. The disclosure includes recognizing received speech with a collection of domain-specific speech recognizers, determining a speech recognition confidence for each of the speech recognition outputs, selecting speech recognition candidates based on a respective speech recognition confidence for each speech recognition output, and combining selected speech recognition candidates to generate text based on the combination.
摘要翻译：本文公开了用于在不需要模型定制或接收到的语音的领域的先前知识的情况下在不同的应用或环境上执行语音识别的系统，方法和非暂时的计算机可读介质。该公开内容包括：利用特定领域的语音识别器的集合来识别接收的语音，为每个语音识别输出确定语音识别置信度，基于每个语音识别输出的相应的语音识别置信度选择语音识别候选，以及组合所选语音识别候选人基于组合生成文本。

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