# Extraction of Salient Sentences from Labelled Documents

arXiv: https://arxiv.org/abs/1412.6815 · HTML: https://mlsanity.com/paper/1412.6815/

## Key facts

- Cited by 50 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Dec 2014.

## Built on by (most cited first, 30 of 50)

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## Abstract (arXiv)

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.
