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eSPERTo’s Paraphrastic Knowledge Applied to Question-Answering and Summarization

  • Cristina Mota
  • Anabela Barreiro
  • Francisco Raposo
  • Ricardo Ribeiro
  • Sérgio Curto
  • Luísa Coheur
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 667)

Abstract

This paper reports our first attempt of integrating eSPERTo’s paraphrastic engine, which is based on NooJ platform, with two application scenarios: a conversational agent, and a summarization system. We briefly describe eSPERTo’s base resources, and the necessary modifications to these resources that enabled the production of paraphrases required to feed both systems. Although the improvement observed in both scenarios is not significant, we present a detailed error analysis to further improve the achieved results in future experiments.

Keywords

Paraphrasing Question-Answering Summarization Portuguese NooJ 

Notes

Acknowledgments

This research was supported by Fundação para a Ciência e Tecnologia (FCT), under exploratory project eSPERTo (Ref. EXPL/MHC-LIN/2260/2013). Anabela Barreiro was also funded by FCT through post-doctoral grant SFRH/BPD/91446/2012. The authors would like to thank Max Silberztein for his prompt support and guidance with all matters related to NooJ.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Cristina Mota
    • 1
  • Anabela Barreiro
    • 1
  • Francisco Raposo
    • 1
  • Ricardo Ribeiro
    • 1
  • Sérgio Curto
    • 1
  • Luísa Coheur
    • 1
  1. 1.INESC-IDLisbonPortugal

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