AUTOMATED HIGHLIGHTING OF KEY POINTS IN CONTENT USING MACHINE LEARNING TO IMPROVE DOCUMENT COMPREHENSION. USING EASY TO COLLECT HUMAN FEEDBACK TO IMPROVE THE ALGORITHM

Highlighting key portions of text within a document is described. A document having text is obtained, and key portions of the document are determined using summarization techniques. Key portion data indicative of the key portions is generated and maintained for output to generate a highlighted document in which highlight overlays are displayed over or proximate the determined key portions of the text within the document. In one or more implementations, reader interactions with the highlighted document are monitored to generate reader feedback data. The reader feedback data may then be combined with the output of the summarization techniques in order to adjust the determined key portions. In some cases, the reader feedback data may also be used to improve the summarization techniques. DOCUMENT Document Highlighting 100 System 102 l - Key Portion FD Recognizer 104 I -OItil.OI MIM SummariZation - Model 116 N Adjustment Mdl / ~~ 122Moue Documents 112 Key Portion '- 118 Data 114 Network Reader 110 Feedback Data 124 NN -12 120 Client Devices 106 / 66. Reader/ Application 108 LHighlighted\ Douent 120