公开(公告)号：US20230385320A1

公开(公告)日：2023-11-30

申请号：US17836456

申请日：2022-06-09

申请人： Microsoft Technology Licensing, LLC

发明人： Weixin CAI ,  Si-Qing Chen ,  Michel Galley ,  William Brennan Dolan ,  Christopher J. Brockett ,  Zhang Li ,  Warren A. Aldred ,  Xinyu He ,  Jesse Alexander Freitas ,  Kaushik Ramaiah Narayanan

IPC分类号： G06F16/338 ,  G06F16/332 ,  G06F16/335 ,  G06K9/62 ,  G06F40/30 ,  G06F40/253 ,  G06N20/00

CPC分类号： G06F16/338 ,  G06F16/3326 ,  G06F16/335 ,  G06K9/6215 ,  G06F40/30 ,  G06F40/253 ,  G06N20/00

摘要： Systems and methods are directed to generating content that is contextually relevant in a writing style of a user. In example embodiments, a plurality of logical inputs regarding a topic is received in bullet point format. A content generator generates draft content using machine learning (ML) models. The generating comprises identifying a writing style of the user by applying the plurality of logical inputs to a first ML model, determining a context and direction for the draft content using a second ML model, and based on the plurality of logical inputs, the identified writing style, and the context and direction, generating at least one paragraph of draft content in the writing style of the user that follows an outline associated with the bullet point format and comprises a same context and direction as the plurality of logical inputs. The draft content is then presented at a client device.

公开(公告)号：US20230259713A1

公开(公告)日：2023-08-17

申请号：US17583909

申请日：2022-01-25

申请人： Microsoft Technology Licensing, LLC

发明人： Tomasz Lukasz RELIGA ,  Zhang LI ,  Christine Lauren MAYER ,  Max WANG ,  Huitian JIAO ,  Weixin CAI ,  Cheng YANG ,  Christie CHAN ,  Siqing CHEN

IPC分类号： G06F40/35 ,  G06F40/253 ,  G06N20/00 ,  G06F40/284

CPC分类号： G06F40/35 ,  G06F40/253 ,  G06F40/284 ,  G06N20/00

摘要： A method and system for providing tone detection for a content may include receiving a request to detect a tone for a content, retrieving user data and data about the content, detecting a content environment for the content based on at least one of the user data and the data about the content, detecting the tone for the content based on the content and the content environment, inputting the content and the detected tone into a machine-learning (ML) model for modifying the tone from the detected tone to a modified tone, obtaining at least one rephrased content segment as an output from the ML model, the rephrased content segment modifying the tone of the content from the detected tone to the modified tone, and providing at least one of the detected tone or the at least one rephrased content segment for display.

公开(公告)号：US20240249068A1

公开(公告)日：2024-07-25

申请号：US18564349

申请日：2021-06-24

申请人： Microsoft Technology Licensing, LLC

发明人： Warren A. ALDRED ,  Si-Qing CHEN ,  Rama S. GANESAMOORTHY KASTHURI ,  Xun WANG ,  Weixin CAI ,  Xinyu HE ,  Xingxing ZHANG ,  Zhang LI ,  Kaushik R. NARAYANAN ,  Furu WEI ,  Cheng YANG

IPC分类号： G06F40/166 ,  G06F16/34 ,  G06Q10/107

CPC分类号： G06F40/166 ,  G06F16/345 ,  G06Q10/107

摘要： A sequence-to-sequence summarizer receives source content to be summarized and determines whether the source content has a size that meets the size threshold. If so, the source content is divided into sections and the sequence-to-sequence summarizer generates a summary for each section. The summaries for each section are merged into a document summary and surfaced for user interaction.