Abstract: In general, the disclosure describes techniques for personalizing a meeting summary according to the relevance of different meeting items within a meeting to different users. In some examples, a computing system for automatically providing personalized summaries of meetings comprises a memory configured to store information describing a meeting; and processing circuitry configured to receive a plurality of meeting item summaries of respective meeting items included in the transcript of the meeting; determine, by applying a model of meeting item relevance to the meeting item summaries, a corresponding relevance to a user of each of the meeting item summaries; and output respective indications of relevance to the user for one or more of the meeting item summaries to provide a personalized summary of the meeting to the user.

Abstract: A system for textual analysis of task performances. The system includes a receiving module operating on at least a server configured to receive at least a request for a task performance. The system includes a language processing module operating on the at least a server configured to parse the at least a request for a task performance and retrieve at least a task performance datum, categorize the at least a request for a task performance to at least a task performance list, and assign the at least a request for a task performance to a task performance owner. The system includes a task generator module configured to generate at least a task performance data element containing a task performance list label and a priority label.

Abstract: In general, the disclosure describes techniques for personalizing a meeting summary according to the relevance of different meeting items within a meeting to different users. In some examples, a computing system for automatically providing personalized summaries of meetings comprises a memory configured to store information describing a meeting; and processing circuitry configured to receive a plurality of meeting item summaries of respective meeting items included in the transcript of the meeting; determine, by applying a model of meeting item relevance to the meeting item summaries, a corresponding relevance to a user of each of the meeting item summaries; and output respective indications of relevance to the user for one or more of the meeting item summaries to provide a personalized summary of the meeting to the user.