公开(公告)号：US12080090B2

公开(公告)日：2024-09-03

申请号：US17552723

申请日：2021-12-16

申请人： Microsoft Technology Licensing, LLC

发明人： Jatin Kakkar ,  Beethika Tripathi ,  Rashi Anand ,  Pankaj Khanzode ,  Neha Singh ,  Daraksha Parveen ,  Gangula Rama Rohit Reddy ,  Rishabh Malhotra

IPC分类号： G06V30/416 ,  G06F9/54 ,  G06F40/279

CPC分类号： G06V30/416 ,  G06F9/542 ,  G06F40/279

摘要： A computing system obtains a document that includes text. The computing system identifies a fact referenced in the text of the document, where the fact includes a fact name and a fact value. The computing system determines a topic of the document based upon the text of the document. The computing system identifies a factoid stored in a data store based upon the topic and the fact name, where the factoid includes the fact name and a second fact value, and further where the factoid has been generated based upon second text of a second document. While the document is being displayed to a user, the computing system causes a message to be displayed to the user, where the message prompts the user to accept or reject replacement of the fact value in the document with the second fact value.

公开(公告)号：US11461339B2

公开(公告)日：2022-10-04

申请号：US17163421

申请日：2021-01-30

申请人： MICROSOFT TECHNOLOGY LICENSING, LLC

发明人： Vipindeep Vangala ,  Ranganath Kondapally ,  Beethika Tripathi ,  Madan Gopal Jhanwar ,  Jimish Bhayani ,  Daraksha Parveen ,  Priyam Bakliwal ,  Pankaj Vasant Khanzode

IPC分类号： G06F16/2457 ,  G06N20/00

摘要： Techniques for extracting and ranking multiple topic descriptions based on source contexts and subsequently selecting individual topic descriptions to surface based on recipient contexts. More specifically, a mining platform may extract, from a set of source documents making up a corpus, topic descriptions for various topics that are relevant to an enterprise. The mining platform may further rank the extracted topic descriptions based on a source context of those documents from which individual topic descriptions are extracted. Subsequently, when users access enterprise documents including term-usage instances of topics for which one or more topic descriptions have been extracted and ranked, a description serving module may select a topic description that is contextually appropriate for a recipient view the enterprise documents.

公开(公告)号：US11874939B2

公开(公告)日：2024-01-16

申请号：US17163420

申请日：2021-01-30

申请人： MICROSOFT TECHNOLOGY LICENSING, LLC

发明人： Vipindeep Vangala ,  Ranganath Kondapally ,  Pankaj Vasant Khanzode ,  Beethika Tripathi ,  Daraksha Parveen ,  Madan Gopal Jhanwar ,  Jimish Bhayani ,  Priyam Bakliwal ,  Jatin Kakkar

IPC分类号： G06F21/62 ,  G06N20/00 ,  G06Q10/101 ,  G06Q10/105

CPC分类号： G06F21/6218 ,  G06N20/00 ,  G06Q10/101 ,  G06Q10/105

摘要： An entity interlinkage platform may receive a corpus of enterprise documents and user profile data that corresponds to an individual user. The entity interlinkage platform utilizes topic extraction models to extract entities from the corpus and further utilizes the user profile data to generate a knowledge graph that includes interlinkages between the extracted entities. The entity interlinkage platform may identify a multitude of topic descriptions and corresponding topic terms from source documents that an access control list permits an individual user to access. Then, based on the user profile data, the entity interlinkage platform may generate a knowledge graph that is tailored for the individual user's specific purposes within the enterprise. For example, the knowledge graph may be generated based on knowledge graph preferences (which may be defined by the individual user) indicating preferred topic description types and/or levels of detail in association with specific topics and/or categories of topics.