Yizheng Cai

20130006973, Jan 3, 2013

Jun 28, 2011

13/170787

Nicholas Caldwell - Bellevue WA, US
Saliha Azzam - Redmond WA, US
Diego Perez Del Carpio - Redmond WA, US
Yizheng Cai - Sammamish WA, US
Michael Gamon - Seattle WA, US

MICROSOFT CORPORATION - Redmond WA

G06F 17/30

707723, 707769, 707E17014

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.

20130007648, Jan 3, 2013

Jun 28, 2011

13/170660

Michael Gamon - Seattle WA, US
Saliha Azzam - Redmond WA, US
Yizheng Cai - Sammamish WA, US
Nicholas Caldwell - Bellevue WA, US

MICROSOFT CORPORATION - Redmond WA

G06F 3/048

715771

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.

20130030793, Jan 31, 2013

Jul 28, 2011

13/193248

Yizheng Cai - Sammamish WA, US
Kevin Roland Powell - Kirkland WA, US
Ravi Chandru Shahani - Redmond WA, US
Lei Wang - Woodinville WA, US

MICROSOFT CORPORATION - Redmond WA

G06F 17/27

704 9, 704E11001

Potential linguistic errors within a sequence of words of a sentence are identified based on analysis of a configurable sliding window. The analysis is performed based on an assumption that if a sequence of words occurs frequently enough within a large, well-formed corpus, its joint probability for occurring in a sentence is very likely to be greater than the same words randomly ordered.

20110179049, Jul 21, 2011

Jun 18, 2010

12/818667

Nicholas Caldwell - Bellevue WA, US
Venkat Pradeep Chilakamarri - Redmond WA, US
Saliha Azzam - Redmond WA, US
Yizheng Cai - Sammamish WA, US
Michael Calcagno - Kirkland WA, US
Benjamin Edward Childs - Seattle WA, US
Arun Chitrapu - Seattle WA, US
Steven Dimmick - Mill Creek WA, US
Michael Gamon - Seattle WA, US
Bernhard SJ Kohlmeier - Woodinville WA, US
Jonathan C. Ludwig - Kirkland WA, US
Kimberly Manis - Seattle WA, US
Courtney Anne O'Keefe - Bellevue WA, US
Diego Perez Del Carpio - Redmond WA, US
Tu Huy Phan - Redmond WA, US
Kevin Powell - Kirkland WA, US
Jignesh Shah - Bellevue WA, US
Ashish Sharma - Bellevue WA, US
Paulus Willem ter Horst - Bothell WA, US
Mukta Pramod Walvekar - Sammamish WA, US

Microsoft Corporation - Redmond WA

G06F 17/30

707755, 707E17058

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.

20110179061, Jul 21, 2011

Jun 18, 2010

12/818718

Venkat Pradeep Chilakamarri - Redmond WA, US
Nicholas Caldwell - Bellevue WA, US
Saliha Azzam - Redmond WA, US
Yizheng Cai - Sammamish WA, US
Benjamin Edward Childs - Seattle WA, US
Arun Chitrapu - Seattle WA, US
Steven Dimmick - Mill Creek WA, US
Michael Gamon - Seattle WA, US
Bernhard SJ Kohlmeier - Woodinville WA, US
Jonathan C. Ludwig - Kirkland WA, US
Kimberly Manis - Seattle WA, US
Courtney Anne O'Keefe - Bellevue WA, US
Diego Perez Del Carpio - Redmond WA, US
Tu Huy Phan - Redmond WA, US
Kevin Powell - Kirkland WA, US
Jignesh Shah - Bellevue WA, US
Ashish Sharma - Bellevue WA, US
Paulus Willem ter Horst - Bothell WA, US
Mukta Pramod Walvekar - Sammamish WA, US

Microsoft Corporation - Redmond WA

G06F 17/30

707769, 707705, 707E17009, 707E17014

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.

20210158300, May 27, 2021

Feb 4, 2021

17/167277

- Redmond WA, US
Saliha AZZAM - Redmond WA, US
Yizheng CAI - Sammamish WA, US
Nicholas CALDWELL - Bellevue WA, US

Microsoft Technology Licensing LLC - Redmond WA

G06Q 10/10

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.