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arXiv:1412.6815cs.CL

Extraction of Salient Sentences from Labelled Documents

Misha Denil, Alban Demiraj, Nando de Freitas

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Abstract

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.

arXiv comments
arXiv admin note: substantial text overlap with arXiv:1406.3830
Journal reference
DOI
Subjects
cs.CLComputation and Language cs.IRInformation Retrieval cs.LGMachine Learning

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Oct 2016 to Oct 2016.

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Discussed in comments1 thread

  1. New technique would reveal the basis for machine-learning systems’ decisions 1 comment

    • It sounds almost exactly like work 2 years ago: "Extraction of Salient Sentences from Labelled Documents" https://arxiv.org/abs/1412.6815

      stuartaxelowenView on HNParent context

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