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PortNOIE: A Neural Framework for Open Information Extraction for the Portuguese Language

  • Conference paper
  • First Online:
Computational Processing of the Portuguese Language (PROPOR 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13208))

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Abstract

Open Information Extraction (OpenIE) is the task of extracting structured information from text. Recent advances in applying Deep Learning to OpenIE tasks have improved the state of the art for the task, although few works have been produced for languages other than English. In this work, we propose PortNOIE, a neural framework for open information extraction for the Portuguese language. We evaluate our method on a manually annotated corpus of Open IE extractions, obtaining better performance than the current state of the art for OpenIE for Portuguese, both based on rule-based approaches or neural methods.

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Notes

  1. 1.

    http://formas.ufba.br/.

  2. 2.

    https://pytorch.org/.

  3. 3.

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Acknowledgement

We would like to thank FAPESB for financial support.

Author information

Authors and Affiliations

  1. FORMAS Research Group, Federal University of Bahia, Salvador, Brazil

    Bruno Cabral, Marlo Souza & Daniela Barreiro Claro

Authors
  1. Bruno Cabral
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  2. Marlo Souza
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  3. Daniela Barreiro Claro
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Corresponding author

Correspondence to Bruno Cabral .

Editor information

Editors and Affiliations

  1. Universidade de Fortaleza, Fortaleza, Brazil

    Vládia Pinheiro

  2. CiTIUS - Universidade de Santiago de Compostela, Santiago de Compostela, Spain

    Pablo Gamallo

  3. Universidade Nova de Lisboa, Lisbon, Portugal

    Raquel Amaro

  4. University of Sheffield, Sheffield, UK

    Carolina Scarton

  5. INESC-ID, Lisbon, Portugal

    Fernando Batista

  6. Federal University of São Carlos, São Carlos, Brazil

    Diego Silva

  7. University of Lisbon, Lisbon, Portugal

    Catarina Magro

  8. Sentimonitor, Porto Alegre, Brazil

    Hugo Pinto

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Cabral, B., Souza, M., Claro, D.B. (2022). PortNOIE: A Neural Framework for Open Information Extraction for the Portuguese Language. In: Pinheiro, V., et al. Computational Processing of the Portuguese Language. PROPOR 2022. Lecture Notes in Computer Science(), vol 13208. Springer, Cham. https://doi.org/10.1007/978-3-030-98305-5_23

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  • DOI: https://doi.org/10.1007/978-3-030-98305-5_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98304-8

  • Online ISBN: 978-3-030-98305-5

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