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International Conference on Natural Language Processing

NLP 2014: Advances in Natural Language Processing pp 249–261Cite as

Uncovering Discourse Relations to Insert Connectives between the Sentences of an Automatic Summary

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8686))

Abstract

This paper presents a machine learning approach to find and classify discourse relations between two unseen sentences. It describes the process of training a classifier that aims to determine (i) if there is any discourse relation among two sentences, and, if a relation is found, (ii) which is that relation. The final goal of this task is to insert discourse connectives between sentences seeking to enhance text cohesion of a summary produced by an extractive summarization system for the Portuguese language.

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Author information

Authors and Affiliations

  1. University of Lisbon, Portugal

    Sara Botelho Silveira & António Branco

Authors
  1. Sara Botelho Silveira
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  2. António Branco
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Editor information

Editors and Affiliations

  1. Institute of Computer Science, Polish Academy of Sciences, ul. Jana Kazimierza 5, 01-248, Warsaw, Poland

    Adam Przepiórkowski  & Maciej Ogrodniczuk  & 

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Silveira, S.B., Branco, A. (2014). Uncovering Discourse Relations to Insert Connectives between the Sentences of an Automatic Summary. In: Przepiórkowski, A., Ogrodniczuk, M. (eds) Advances in Natural Language Processing. NLP 2014. Lecture Notes in Computer Science(), vol 8686. Springer, Cham. https://doi.org/10.1007/978-3-319-10888-9_26

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  • DOI: https://doi.org/10.1007/978-3-319-10888-9_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10887-2

  • Online ISBN: 978-3-319-10888-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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