Abstract: Methods for generating a categorized, ranked, condensed summary of a transcript of a conversation, involving obtaining a diarized version of the transcript of the conversation, storing textual monologues from the transcript, determining classifications as to the textual monologues based on a classifier algorithm, associating the classifications with the textual monologues, creating textually-modified rephrasings of the textual monologues based on text and classification thereof, storing the textually-modified rephrasings, aggregating the textually-modified rephrasings based on associated clustering and scoring, and transmitting summary information pertaining to the aggregated textually-modified rephrasings to a user device.

Abstract: A system and method for generating a rephrasing model for rephrased actionable data extracted from conversations is presented. The method includes receiving a training dataset including a plurality of training samples, wherein each training sample includes a textual data extracted from recorded conversations and at least one action item, wherein the at least one action item is a portion of the textual data; associating a control signal to each training sample of the training dataset, wherein the control signal is added to the associated training sample; and training a rephrasing model using the training dataset, wherein the rephrasing model is trained to paraphrase the at least one action item to output at least one actionable data, wherein each training sample of the training dataset is iteratively fed into the machine learning algorithm of the rephrasing model.