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CRPC-DB a Discourse Bank for Portuguese

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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

We present a new resource for discourse studies in Portuguese, the CRPC Discourse Bank (CRPC-DB). CRPC-DB follows the Penn Discourse Treebank style of annotation. The annotation is performed on the PAROLE corpus, a free subset of the Reference Corpus of Contemporary Portuguese (CRPC) that includes news, fiction and didactic/scientific texts. The discourse bank covers explicit and implicit relations at intra and inter-sentential levels, and includes for now a total of 14,436 discourse relations. We present the main guidelines of our annotation and discuss specific cases. An experiment in inter-annotator agreement was performed and holds results of 0.88 F1-score for discourse relation identification, 0.71 Cohen’s K for the classification of discourse relation types, and 0,75 for top-level sense classification. The CRPC-DB will be distributed free of charge through the PORTULAN CLARIN infrastructure.

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Notes

  1. 1.

    http://catalogue.elra.info/en-us/repository/browse/ELRA-W0024_01.

  2. 2.

    https://portulanclarin.net.

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Acknowledgements

This work was partially supported by PORTULAN CLARIN-Research Infrastructure for the Science and Technology of Language, funded by Lisboa2020, Alentejo2020 and FCT-Fundação para a Ciência e Tecnologia under the grant PINFRA/22117/2016, and by FCT under the project UIDP/00214/2020. Some of its developments were implemented in the scope of the COST Action TextLink - Structuring Discourse in Multilingual Europe. We wish to thank the anonymous reviewers for their helpful comments.

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Authors and Affiliations

  1. Center of Linguistics, School of Arts and Humanities, University of Lisbon, Lisbon, Portugal

    Amália Mendes & Pierre Lejeune

Authors
  1. Amália Mendes
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  2. Pierre Lejeune
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Correspondence to Amália Mendes .

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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Mendes, A., Lejeune, P. (2022). CRPC-DB a Discourse Bank for Portuguese. 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_8

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  • DOI: https://doi.org/10.1007/978-3-030-98305-5_8

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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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