Extraction of Salient Sentences from Labelled Documents
  We present a hierarchical convolutional document model with an architecture designed to support introspection of the document structure. Using this model, we show how to use visualisation techniques from the computer vision literature to identify and extract topic-relevant sentences.   We also introduce a new scalable evaluation technique for automatic sentence extraction systems that avoids the need for time consuming human annotation of validation data. 
Misha Denil and Alban Demiraj and Nando de Freitas
cs.CL cs.IR cs.LG