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公开(公告)号:EP3074888A1
公开(公告)日:2016-10-05
申请号:EP14812062.9
申请日:2014-11-20
发明人: CHILAKAMARRI, Pradeep , KOHLMEIER, Bernhard S.J. , SAAD, Kristen M. , DUONG, Constance Gwendolyn , MA, Lin , BAI, Annie Y. , REYES, Lorrissa
摘要: Techniques and systems for facilitating contextual information lookup and navigation are presented. Contextually relevant information can be presented without requiring a user to switch context or craft a search query. From within an application in which a user may consume or create content, a user may indicate text for further exploration. The application can receive the indication of an initial text selection, determine the intended selection and provide contextual search results to the user. In some implementations, the initial selection and a selection context (that includes at least some of the text surrounding the initial selection) is sent to a contextual search service which provides the intended selection and contextual search results based on the initial selection and selection context. In other implementations, text may be suggested by the contextual search service for selection from within the application.
摘要翻译: 介绍了用于促进上下文信息查找和导航的技术和系统。 可以呈现上下文相关信息,而不需要用户切换上下文或制作搜索查询。 从用户可能在使用或创建内容的应用程序中,用户可以指示用于进一步探索的文本。 应用程序可以接收初始文本选择的指示,确定预期的选择并向用户提供上下文搜索结果。 在一些实现中,初始选择和选择上下文(其包括围绕初始选择的文本中的至少一些)被发送到基于初始选择和选择上下文提供预期选择和上下文搜索结果的上下文搜索服务。 在其他实现中,文本可以由上下文搜索服务来建议,以从应用程序内进行选择。
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公开(公告)号:EP3055787A1
公开(公告)日:2016-08-17
申请号:EP14787348.3
申请日:2014-10-07
发明人: KOHLMEIER, Bernhard S. J. , CHILAKAMARRI, Pradeep , SAAD, Kristen M. , PANTEL, Patrick , FUXMAN, Ariel Damian , REYES, Lorrissa , CHANDRA, Ashok Kumar , NARAYANAN, Dhyanesh , ZHAO, Bo
IPC分类号: G06F17/30
CPC分类号: G06N99/005 , G06F3/04842 , G06F17/3053 , G06F17/30637 , G06F17/3064 , G06F17/30867 , G06N3/04 , G06N7/005
摘要: A text span forming either a single word or a series of two or more words that a user intended to select is predicted. A document and a location pointer that indicates a particular location in the document are received and input to different candidate text span generation methods. A ranked list of one or more scored candidate text spans is received from each of the different candidate text span generation methods. A machine-learned ensemble model is used to re-score each of the scored candidate text spans that is received from each of the different candidate text span generation methods. The ensemble model is trained using a machine learning method and features from a dataset of true intended user text span selections. A ranked list of re-scored candidate text spans is received from the ensemble model.
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公开(公告)号:EP3074888B1
公开(公告)日:2020-02-19
申请号:EP14812062.9
申请日:2014-11-20
发明人: CHILAKAMARRI, Pradeep , KOHLMEIER, Bernhard S.J. , SAAD, Kristen M. , DUONG, Constance Gwendolyn , MA, Lin , BAI, Annie Y. , REYES, Lorrissa
IPC分类号: G06F9/451 , G06F16/9532
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