Microsoft Technology Licensing, LLC

Nicholas Caldwell

Saliha Azzam

Benjamin Edward Childs

Ye-Yi Wang

Michael Gamon

David Claux

Venkat Pradeep Chilakamarri

Yizheng Cai

Fetiye Karabay

Courtney Anne O'Keefe

Tu Huy Phan

Diego Perez Del Carpio

Allan Folting

Charles David Ellis

Ravi Chandru Shahani

Michael V Calcagno

Su Chin Chang

Robert Stumberger

Thierry Fontenelle

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.

Automatic task extraction and calendar entry

A user is writing an email or other message. The message is inspected for a predetermined word and for at least one of: a predetermined phrase or a template match. A score is generated if the predetermined phrase or the template match is detected. A suggestion is provided to a user that the message may need an attachment if the predetermined word is detected or if the score is greater than a predetermined score. The inspection may begin when the user begins creating the message, indicates that the message should be sent, or at some point in between. The user may provide feedback that the suggestion is accepted or that the suggestion is rejected.

Forgotten attachment detection

A communication application creates a team mailbox integrating messages from an email repository and documents from a content management store (CMS). The application enables an administrator to define and manage members of the team mailbox with varying privilege status for accessing the team mailbox. Content such as aggregated messages and associated documents are displayed through a unified view to standardize ease of access. The members are enabled to receive messages sent to the team mailbox by others. Policies inherited from email repository, CMS, and/or third party policy providers are enforced within the team mailbox.

Management team mailbox integrating email repository and content management store services

Automatically generating a glossary of terms for a given document or group of documents is provided. A single document or a group of documents associated with a given project or event are parsed for one or more unique terms (e.g., words, acronyms, phrases, etc.). Identified terms are passed to a local or external definition source, and definitions for the one or more identified terms are retrieved. Retrieved definitions are presented to a user of the documents, and approved definitions are stored in a project store for subsequent use in association with the documents.

Automatically generating a glossary of terms for a given document or group of documents

Managing team mailbox integrating email repository and content management store services

Automatically suggesting content, for example, documents, contacts information, tasks, calendar items, and the like, for inclusion into an electronic collaborative workspace is provided. Given a short description of a given project or collaborative workspace, an initial project membership list, and identification of local or external content repositories, content associated with the project or workspace may be retrieved and recommended to one or more users for inclusion into the project or collaborative workspace. Thus, the time and effort required for initially populating an electronic workspace with needed content is dramatically reduced.

Automatic project content suggestion

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.

Summarization of conversation threads

A user is writing an email or other message. A text processing layer prepares the message for analysis and performs some initial analysis and preparation such as a sentence separator, a 'tokenizer', a 'unique body' identification, and/or possibly other filtering or analysis routines. An analytics layer analyzes the message using a &#x201c;regular expressions&#x201d; analysis, a statistical natural language processing analysis, and/or a template matching analysis. If an attachment is indicated, a suggestion to add an attachment is provided to the user. The analysis may begin when the user begins creating the message, indicates that the message should be sent, or at some point in between. The user may provide feedback that the suggestion is accepted or that the suggestion is rejected.

Automatic detection of question and answer pairs contained in electronic communications channels is provided. Communications channels for a given enterprise, for example, emails, text message strings, and discussion forum strings are analyzed according to one or more features or patterns that are indicative of questions for detecting whether one or more questions are posed in a given communication. Next, answers that are relevant to identified questions are similarly identified by analyzing one or more communications for features and patterns that are indicative of answers to a question, and more particularly, to an identified question. Once an identified question is linked to an identified answer, the linked question and answer pair is stored in a publicly available repository for future reference by users having access to the repository.

Automatic question and answer detection

The present invention relates to a method of manipulating a software application and processing data stored in a data source. The method includes receiving a natural language input and analyze the natural language input to identify semantic information contained therein. Portions of the natural language input are associated with command objects and entity objects of a schema based on the semantic information and the natural language input. The method also includes rendering data from the data source in a table of columns and rows based on the schema and the associated portions of the natural language input.

Rendering tables with natural language commands

A method and product are provided that identify properly spelled words from an input string. Separate lexical entries are identified for different parts of an input word. Grammatical information associated with one of the lexical entries is examined to determine if it satisfies a grammatical constraint associated with another of the lexical entries. A properly spelled word is formed by combining the separate lexical entries if the grammatical information satisfies the constraint. Under some embodiments of the invention, the separate lexical entries are identified by performing a first search of a lexicon using a first part of the input string and by performing a second search of the lexicon using a second part of the input string.

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Bellevue, WA, United States of America

Nicholas Caldwell