公开(公告)号：EP3030986A1

公开(公告)日：2016-06-15

申请号：EP14761719.5

申请日：2014-08-06

申请人： Microsoft Technology Licensing, LLC

发明人： AKBACAK, Murat ,  DUMOULIN, Benoit

IPC分类号： G06F17/30

CPC分类号： G06F17/30038 ,  G06F17/3002 ,  G06F17/30997

摘要： One or more techniques and/or systems are provided for maintaining user tagged content. For example, a user may experience content (e.g., watch a scene of a movie, create a photo, create a social network post, read an email, etc.), which the user may desire to save and/or organize for later retrieval. Accordingly, a personalization tag for the content may be received from the user (e.g., "Paris vacation photo"). The content may be indexed with the personalization tag within a personalization index (e.g., a cloud-based index for the user that may be accessible to any device associated with the user). In this way, the user may retrieve the content at a later point in time from any device. For example, a search query "Paris photos" may be received from the user. The personalization index may be queried using the search query to identify content that may be provided to the user.

公开(公告)号：EP3158559B1

公开(公告)日：2018-05-23

申请号：EP15736702.0

申请日：2015-06-17

申请人： Microsoft Technology Licensing, LLC

发明人： AKBACAK, Murat ,  HAKKANI-TUR, Dilek Z. ,  TUR, Gokhan ,  HECK, Larry P.

IPC分类号： G10L15/06 ,  G06F17/30 ,  G10L15/183 ,  G10L15/22

CPC分类号： G06F17/2836 ,  G06F17/2818 ,  G06F17/30766 ,  G10L15/06 ,  G10L15/183 ,  G10L2015/227

摘要： Systems and methods are provided for improving language models for speech recognition by adapting knowledge sources utilized by the language models to session contexts. A knowledge source, such as a knowledge graph, is used to capture and model dynamic session context based on user interaction information from usage history, such as session logs, that is mapped to the knowledge source. From sequences of user interactions, higher level intent sequences may be determined and used to form models that anticipate similar intents but with different arguments including arguments that do not necessarily appear in the usage history. In this way, the session context models may be used to determine likely next interactions or “turns” from a user, given a previous turn or turns. Language models corresponding to the likely next turns are then interpolated and provided to improve recognition accuracy of the next turn received from the user.

公开(公告)号：EP3158559A1

公开(公告)日：2017-04-26

申请号：EP15736702.0

申请日：2015-06-17

申请人： Microsoft Technology Licensing, LLC

发明人： AKBACAK, Murat ,  HAKKANI-TUR, Dilek Z. ,  TUR, Gokhan ,  HECK, Larry P.

IPC分类号： G10L15/06 ,  G06F17/30 ,  G10L15/183

CPC分类号： G06F17/2836 ,  G06F17/2818 ,  G06F17/30766 ,  G10L15/06 ,  G10L15/183 ,  G10L2015/227

摘要： Systems and methods are provided for improving language models for speech recognition by adapting knowledge sources utilized by the language models to session contexts. A knowledge source, such as a knowledge graph, is used to capture and model dynamic session context based on user interaction information from usage history, such as session logs, that is mapped to the knowledge source. From sequences of user interactions, higher level intent sequences may be determined and used to form models that anticipate similar intents but with different arguments including arguments that do not necessarily appear in the usage history. In this way, the session context models may be used to determine likely next interactions or “turns” from a user, given a previous turn or turns. Language models corresponding to the likely next turns are then interpolated and provided to improve recognition accuracy of the next turn received from the user.

摘要翻译： 通过将语言模型使用的知识源适配到会话上下文中，提供了用于改善语音识别的语言模型的系统和方法。 知识源（例如知识图）用于基于映射到知识源的使用历史记录（例如会话日志）中的用户交互信息来捕获和建模动态会话上下文。 根据用户交互的序列，可以确定更高级别的意图序列并且将其用于形成预测类似意图但具有不同参数的模型，所述参数包括不一定出现在使用历史中的参数。 以这种方式，会话上下文模型可以被用于确定可能的下一个交互或者在给定之前的转向或转向时从用户“转向”。 然后插入并提供对应于可能的下一个回合的语言模型，以提高从用户接收到的下一个回合的识别准确度。

公开(公告)号：EP3143522A1

公开(公告)日：2017-03-22

申请号：EP15728256.7

申请日：2015-05-15

申请人： Microsoft Technology Licensing, LLC

发明人： AKBACAK, Murat ,  HAKKANI-TUR, Dilek Z. ,  TUR, Gokhan ,  HECK, Larry P. ,  DUMOULIN, Benoit

IPC分类号： G06F17/30 ,  G10L15/06

CPC分类号： G10L15/18 ,  G06F17/30654 ,  G06F17/30734 ,  G06F17/30766 ,  G10L15/07

摘要： Systems and methods are provided for improving language models for speech recognition by personalizing knowledge sources utilized by the language models to specific users or user-population characteristics. A knowledge source, such as a knowledge graph, is personalized for a particular user by mapping entities or user actions from usage history for the user, such as query logs, to the knowledge source. The personalized knowledge source may be used to build a personal language model by training a language model with queries corresponding to entities or entity pairs that appear in usage history. In some embodiments, a personalized knowledge source for a specific user can be extended based on personalized knowledge sources of similar users.

摘要翻译： 提供了系统和方法，用于通过将语言模型所使用的知识源个人化为特定用户或用户群体特征来改进用于语音识别的语言模型。 通过将实体或用户操作与用户的使用历史（例如查询日志）映射到知识源，为特定用户个性化知识源。 个性化知识源可以用于通过训练具有对应于出现在使用历史中的实体或实体对的查询的语言模型来构建个人语言模型。 在一些实施例中，可以基于类似用户的个性化知识源来扩展用于特定用户的个性化知识源。