公开(公告)号：US20110179061A1

公开(公告)日：2011-07-21

申请号：US12818718

申请日：2010-06-18

申请人： Venkat Pradeep Chilakamarri ,  Nicholas Caldwell ,  Saliha Azzam ,  Yizheng Cai ,  Benjamin Edward Childs ,  Arun Chitrapu ,  Steven Dimmick ,  Michael Gamon ,  Bernhard SJ Kohlmeier ,  Shiun-Zu Kuo ,  Jonathan C. Ludwig ,  Kimberly Manis ,  Courtney Anne O'Keefe ,  Diego Perez Del Carpio ,  Tu Huy Phan ,  Kevin Powell ,  Jignesh Shah ,  Ashish Sharma ,  Paulus Willem ter Horst ,  Mukta Pramod Walvekar ,  Ye-Yi Wang

发明人： Venkat Pradeep Chilakamarri ,  Nicholas Caldwell ,  Saliha Azzam ,  Yizheng Cai ,  Benjamin Edward Childs ,  Arun Chitrapu ,  Steven Dimmick ,  Michael Gamon ,  Bernhard SJ Kohlmeier ,  Shiun-Zu Kuo ,  Jonathan C. Ludwig ,  Kimberly Manis ,  Courtney Anne O'Keefe ,  Diego Perez Del Carpio ,  Tu Huy Phan ,  Kevin Powell ,  Jignesh Shah ,  Ashish Sharma ,  Paulus Willem ter Horst ,  Mukta Pramod Walvekar ,  Ye-Yi Wang

IPC分类号： G06F17/30

CPC分类号： G06Q10/00

摘要： An analysis module, when triggered by a synchronization framework when a new data item is added to a project data store, runs a series of analysis feature extractors on the new content. An analysis may be conducted, and features of interest may be extracted from the data item. The analysis utilizes natural language processing, as well as other technologies, to provide an automatic or semi-automatic extraction of information. The extracted features of interest are saved as metadata within the project data store, and are associated with the data item from which it was extracted. The analysis module may be utilized to discover additional information that may be gleaned from content that is already in the project data store.

摘要翻译： 分析模块在将新数据项添加到项目数据存储时由同步框架触发时，在新内容上运行一系列分析功能提取器。 可以进行分析，并且可以从数据项中提取感兴趣的特征。 该分析利用自然语言处理以及其他技术来提供信息的自动或半自动提取。 提取的兴趣特征作为元数据保存在项目数据存储中，并与提取的数据项相关联。 可以使用分析模块来发现可能已经在项目数据存储中的内容收集的附加信息。

公开(公告)号：US09116984B2

公开(公告)日：2015-08-25

申请号：US13170787

申请日：2011-06-28

申请人： Nicholas Caldwell ,  Saliha Azzam ,  Diego Perez Del Carpio ,  Ye-Yi Wang ,  Yizheng Cai ,  Michael Gamon

发明人： Nicholas Caldwell ,  Saliha Azzam ,  Diego Perez Del Carpio ,  Ye-Yi Wang ,  Yizheng Cai ,  Michael Gamon

IPC分类号： G06F17/30

CPC分类号： G06F17/30719

摘要： Automatically summarizing electronic communication conversation threads is provided. Electronic mails, text messages, tasks, questions and answers, meeting requests, calendar items, and the like are processed via a combination of natural language processing and heuristics. For a given conversation thread, for example, an electronic mail thread associated with a given task, a text summary of the thread is generated to highlight the most important text in the thread. The text summary is presented to a user in a visual user interface to allow the user to quickly understand the significance or relevance of the thread.

摘要翻译： 提供自动汇总电子通信对话线程。 通过自然语言处理和启发式的组合处理电子邮件，短信，任务，问题和答案，会议请求，日历项目等。 对于给定的对话线程，例如，与给定任务相关联的电子邮件线程，生成线程的文本摘要以突出线程中最重要的文本。 文本摘要在可视化用户界面中呈现给用户，以允许用户快速了解线程的重要性或相关性。

公开(公告)号：US10984387B2

公开(公告)日：2021-04-20

申请号：US13170660

申请日：2011-06-28

申请人： Michael Gamon ,  Saliha Azzam ,  Yizheng Cai ,  Nicholas Caldwell ,  Ye-Yi Wang

发明人： Michael Gamon ,  Saliha Azzam ,  Yizheng Cai ,  Nicholas Caldwell ,  Ye-Yi Wang

IPC分类号： G06Q10/10

摘要： Automatically detected and identified tasks and calendar items from electronic communications may be populated into one or more tasks applications and calendaring applications. Text content retrieved from one or more electronic communications may be extracted and parsed for determining whether keywords or terms contained in the parsed text may lead to a classification of the text content or part of the text content as a task. Identified tasks may be automatically populated into a tasks application. Similarly, text content from such sources may be parsed for keywords and terms that may be identified as indicating calendar items, for example, meeting requests. Identified calendar items may be automatically populated into a calendar application as a calendar entry.

公开(公告)号：US20130006973A1

公开(公告)日：2013-01-03

申请号：US13170787

申请日：2011-06-28

申请人： Nicholas Caldwell ,  Saliha Azzam ,  Diego Perez Del Carpio ,  Ye-Yi Wang ,  Yizheng Cai ,  Michael Gamon

发明人： Nicholas Caldwell ,  Saliha Azzam ,  Diego Perez Del Carpio ,  Ye-Yi Wang ,  Yizheng Cai ,  Michael Gamon

IPC分类号： G06F17/30

CPC分类号： G06F17/30719

摘要： Automatically summarizing electronic communication conversation threads is provided. Electronic mails, text messages, tasks, questions and answers, meeting requests, calendar items, and the like are processed via a combination of natural language processing and heuristics. For a given conversation thread, for example, an electronic mail thread associated with a given task, a text summary of the thread is generated to highlight the most important text in the thread. The text summary is presented to a user in a visual user interface to allow the user to quickly understand the significance or relevance of the thread.

摘要翻译： 提供自动汇总电子通信对话线程。 通过自然语言处理和启发式的组合处理电子邮件，短信，任务，问题和答案，会议请求，日历项目等。 对于给定的对话线程，例如，与给定任务相关联的电子邮件线程，生成线程的文本摘要以突出线程中最重要的文本。 文本摘要在可视化用户界面中呈现给用户，以允许用户快速了解线程的重要性或相关性。

公开(公告)号：US20130007648A1

公开(公告)日：2013-01-03

申请号：US13170660

申请日：2011-06-28

申请人： Michael Gamon ,  Saliha Azzam ,  Yizheng Cai ,  Nicholas Caldwell ,  Ye-Yi Wang

发明人： Michael Gamon ,  Saliha Azzam ,  Yizheng Cai ,  Nicholas Caldwell ,  Ye-Yi Wang

IPC分类号： G06F3/048

摘要： Automatically detected and identified tasks and calendar items from electronic communications may be populated into one or more tasks applications and calendaring applications. Text content retrieved from one or more electronic communications may be extracted and parsed for determining whether keywords or terms contained in the parsed text may lead to a classification of the text content or part of the text content as a task. Identified tasks may be automatically populated into a tasks application. Similarly, text content from such sources may be parsed for keywords and terms that may be identified as indicating calendar items, for example, meeting requests. Identified calendar items may be automatically populated into a calendar application as a calendar entry.

摘要翻译： 来自电子通信的自动检测和识别的任务和日历项可以被填充到一个或多个任务应用程序和日历应用程序中。 可以提取并解析从一个或多个电子通信检索的文本内容，以便确定包含在解析文本中的关键字或术语是否可以导致将文本内容或部分文本内容分类为任务。 已识别的任务可以自动填充到任务应用程序中。 类似地，可以针对可以被识别为指示日历项目的关键字和术语（例如会议请求）来解析来自这些源的文本内容。 识别的日历项可以自动地作为日历条目填充到日历应用中。

公开(公告)号：US20110179049A1

公开(公告)日：2011-07-21

申请号：US12818667

申请日：2010-06-18

申请人： Nicholas Caldwell ,  Venkat Pradeep Chilakamarri ,  Saliha Azzam ,  Yizheng Cai ,  Michael Calcagno ,  Benjamin Edward Childs ,  Arun Chitrapu ,  Steven Dimmick ,  Michael Gamon ,  Bernhard SJ Kohlmeier ,  Shiun-Zu Kuo ,  Jonathan C. Ludwig ,  Kimberly Manis ,  Courtney Anne O'Keefe ,  Diego Perez Del Carpio ,  Tu Huy Phan ,  Kevin Powell ,  Jignesh Shah ,  Ashish Sharma ,  Paulus Willem ter Horst ,  Mukta Pramod Walvekar ,  Ye-Yi Wang

发明人： Nicholas Caldwell ,  Venkat Pradeep Chilakamarri ,  Saliha Azzam ,  Yizheng Cai ,  Michael Calcagno ,  Benjamin Edward Childs ,  Arun Chitrapu ,  Steven Dimmick ,  Michael Gamon ,  Bernhard SJ Kohlmeier ,  Shiun-Zu Kuo ,  Jonathan C. Ludwig ,  Kimberly Manis ,  Courtney Anne O'Keefe ,  Diego Perez Del Carpio ,  Tu Huy Phan ,  Kevin Powell ,  Jignesh Shah ,  Ashish Sharma ,  Paulus Willem ter Horst ,  Mukta Pramod Walvekar ,  Ye-Yi Wang

IPC分类号： G06F17/30

CPC分类号： G06Q10/00

摘要： Project-related data may be aggregated from various data sources, given context, and may be stored in a data repository or organizational knowledge base that may be available to and accessed by others. Documents, emails, contact information, calendar data, social networking data, and any other content that is related to a project may be brought together within a single user interface, irrespective of its data type. A user may organize and understand content, discover relevant information, and act on it without regard to where the information resides or how it was created.

摘要翻译： 项目相关数据可以从各种数据源（给定上下文）聚合，并且可以存储在数据存储库或组织知识库中，该数据存储库或组织知识库可被其他人可用和访问。 文档，电子邮件，联系信息，日历数据，社交网络数据以及与项目相关的任何其他内容可以在单个用户界面内汇集在一起​​，而不管其数据类型如何。 用户可以组织和理解内容，发现相关信息并对其进行操作，而不考虑信息所在的位置或其创建方式。

公开(公告)号：US08589157B2

公开(公告)日：2013-11-19

申请号：US12329406

申请日：2008-12-05

申请人： Yun-Cheng Ju ,  Ye-Yi Wang

发明人： Yun-Cheng Ju ,  Ye-Yi Wang

IPC分类号： G10L15/26

CPC分类号： G10L15/26 ,  G10L15/1815 ,  G10L15/22

摘要： An automated “Voice Search Message Service” provides a voice-based user interface for generating text messages from an arbitrary speech input. Specifically, the Voice Search Message Service provides a voice-search information retrieval process that evaluates user speech inputs to select one or more probabilistic matches from a database of pre-defined or user-defined text messages. These probabilistic matches are also optionally sorted in terms of relevancy. A single text message from the probabilistic matches is then selected and automatically transmitted to one or more intended recipients. Optionally, one or more of the probabilistic matches are presented to the user for confirmation or selection prior to transmission. Correction or recovery of speech recognition errors avoided since the probabilistic matches are intended to paraphrase the user speech input rather than exactly reproduce that speech, though exact matches are possible. Consequently, potential distractions to the user are significantly reduced relative to conventional speech recognition techniques.

摘要翻译： 自动“语音搜索消息服务”提供基于语音的用户界面，用于从任意语音输入生成文本消息。 具体地，语音搜索消息服务提供语音搜索信息检索过程，其评估用户语音输入以从预定义或用户定义的文本消息的数据库中选择一个或多个概率匹配。 这些概率匹配也可以根据相关性进行排序。 然后选择来自概率匹配的单个文本消息并将其自动发送到一个或多个预期接收者。 可选地，一个或多个概率匹配在发送之前被呈现给用户进行确认或选择。 纠正或恢复语音识别错误避免了，因为概率匹配旨在释义用户语音输入，而不是精确地再现该语音，尽管精确匹配是可能的。 因此，相对于传统的语音识别技术，对用户的潜在干扰显着降低。

公开(公告)号：US08065146B2

公开(公告)日：2011-11-22

申请号：US11485011

申请日：2006-07-12

申请人： Alejandro Acero ,  Craig M. Fisher ,  Dong Yu ,  Ye-Yi Wang ,  Yun-Cheng Ju

发明人： Alejandro Acero ,  Craig M. Fisher ,  Dong Yu ,  Ye-Yi Wang ,  Yun-Cheng Ju

IPC分类号： G10L17/00

CPC分类号： G10L25/78 ,  G10L15/22 ,  G10L15/26 ,  H04M3/5158 ,  H04M2203/2027

摘要： An answering machine detection module is used to determine whether a call recipient is an actual person or an answering machine. The answering machine detection module includes a speech recognizer and a call analysis module. The speech recognizer receives an audible response of the call recipient to a call. The speech recognizer processes the audible response and provides an output indicative of recognized speech. The call analysis module processes the output of the speech recognizer to generate an output indicative of whether the call recipient is a person or an answering machine.

摘要翻译： 应答机检测模块用于确定呼叫接收者是实际的人还是应答机。 应答机检测模块包括语音识别器和呼叫分析模块。 语音识别器接收呼叫接收者对呼叫的可听见的响应。 语音识别器处理可听见的响应并提供表示识别的语音的输出。 呼叫分析模块处理语音识别器的输出以产生指示呼叫接收者是个人还是应答机的输出。

公开(公告)号：US07983901B2

公开(公告)日：2011-07-19

申请号：US12436387

申请日：2009-05-06

申请人： Alejandro Acero ,  Ye-Yi Wang ,  Leon Wong

发明人： Alejandro Acero ,  Ye-Yi Wang ,  Leon Wong

IPC分类号： G06F17/27

CPC分类号： G06F17/2785 ,  G06F17/241

摘要： The present invention uses a natural language understanding system that is currently being trained to assist in annotating training data for training that natural language understanding system. Unannotated training data is provided to the system and the system proposes annotations to the training data. The user is offered an opportunity to confirm or correct the proposed annotations, and the system is trained with the corrected or verified annotations.

摘要翻译： 本发明使用一种自然语言理解系统，该系统正在被训练以协助注释训练数据以训练该自然语言理解系统。 提供未指定的训练数据到系统，并且系统提出对训练数据的注释。 提供给用户确认或更正所提出的注释的机会，并且使用经更正或验证的注释来对系统进行培训。

公开(公告)号：US07865357B2

公开(公告)日：2011-01-04

申请号：US11375488

申请日：2006-03-14

申请人： Alejandro Acero ,  Dong Yu ,  Ye-Yi Wang ,  Yun-Cheng Ju

发明人： Alejandro Acero ,  Dong Yu ,  Ye-Yi Wang ,  Yun-Cheng Ju

IPC分类号： G06F17/27 ,  G06F17/20 ,  G10L15/00 ,  G10L15/18

CPC分类号： G10L15/197 ,  G10L15/193

摘要： A method of forming a shareable filler model (shareable model for garbage words) from a word n-gram model is provided. The word n-gram model is converted into a probabilistic context free grammar (PCFG). The PCFG is modified into a substantially application-independent PCFG, which constitutes the shareable filler model.

摘要翻译： 提供了从单词n-gram模型形成可共享填充模型（垃圾字的可共享模型）的方法。 单词n-gram模型被转换成概率上下文无关语法（PCFG）。 PCFG被修改为基本上与应用无关的PCFG，其构成可共享填充模型。