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Computational Processing of the Portuguese Language

15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21–23, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Vládia Pinheiro

    1. Universidade de Fortaleza, Fortaleza, Brazil

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  2. Pablo Gamallo

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

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  3. Raquel Amaro

    1. Universidade Nova de Lisboa, Lisbon, Portugal

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  4. Carolina Scarton

    1. University of Sheffield, Sheffield, UK

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  5. Fernando Batista

    1. INESC-ID, Lisbon, Portugal

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  6. Diego Silva

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

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  7. Catarina Magro

    1. University of Lisbon, Lisbon, Portugal

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  8. Hugo Pinto

    1. Sentimonitor, Porto Alegre, Brazil

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PROPOR 2022.

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About this book

This book constitutes the proceedings of the 15th International Conference on Computational Processing of the Portuguese Language, PROPOR 2021, held in Fortaleza, Brazil, in March 2021.

The 36 full papers presented together with 4 short papers were carefully reviewed and selected from 88 submissions. They are grouped in topical sections on speech processing; resources and evaluation; natural language processing applications; semantics; natural language processing tasks; and multilinguality.

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Table of contents (42 papers)

  1. Front Matter

    Pages i-xvii
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  2. Resources and Evaluation

    1. Front Matter

      Pages 1-1
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    2. UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition

      • Hidelberg O. Albuquerque, Rosimeire Costa, Gabriel Silvestre, Ellen Souza, Nádia F. F. da Silva, Douglas Vitório et al.
      Pages 3-14

    3. A Test Suite for the Evaluation of Portuguese-English Machine Translation

      • Mariana Avelino, Vivien Macketanz, Eleftherios Avramidis, Sebastian Möller
      Pages 15-25

    4. MINT - Mainstream and Independent News Text Corpus

      • Danielle Caled, Paula Carvalho, Mário J. Silva
      Pages 26-36

    5. Fakepedia Corpus: A Flexible Fake News Corpus in Portuguese

      • Anderson Cordeiro Charles, Livia Ruback, Jonice Oliveira
      Pages 37-45

    6. A Targeted Assessment of the Syntactic Abilities of Transformer Models for Galician-Portuguese

      • Marcos Garcia, Alfredo Crespo-Otero
      Pages 46-56

    7. FakeRecogna: A New Brazilian Corpus for Fake News Detection

      • Gabriel L. Garcia, Luis C. S. Afonso, João P. Papa
      Pages 57-67

    8. Implicit Opinion Aspect Clues in Portuguese Texts: Analysis and Categorization

      • Mateus Tarcinalli Machado, Thiago Alexandre Salgueiro Pardo, Evandro Eduardo Seron Ruiz, Ariani Di Felippo, Francielle Vargas
      Pages 68-78

    9. CRPC-DB a Discourse Bank for Portuguese

      • Amália Mendes, Pierre Lejeune
      Pages 79-89

    10. Challenges in Annotating a Treebank of Clinical Narratives in Brazilian Portuguese

      • Lucas Ferro Antunes de Oliveira, Adriana Pagano, Lucas Emanuel Silva e Oliveira, Claudia Moro
      Pages 90-100

    11. PetroBERT: A Domain Adaptation Language Model for Oil and Gas Applications in Portuguese

      • Rafael B. M. Rodrigues, Pedro I. M. Privatto, Gustavo José de Sousa, Rafael P. Murari, Luis C. S. Afonso, João P. Papa et al.
      Pages 101-109

    12. SS-PT: A Stance and Sentiment Data Set from Portuguese Quoted Tweets

      • Miguel Won, Jorge Fernandes
      Pages 110-121

  3. Natural Language Processing Tasks

    1. Front Matter

      Pages 123-123
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    2. ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling

      • Alexandre Alcoforado, Thomas Palmeira Ferraz, Rodrigo Gerber, Enzo Bustos, André Seidel Oliveira, Bruno Miguel Veloso et al.
      Pages 125-136

    3. Banking Regulation Classification in Portuguese

      • Rafael Faria de Azevedo, Tiago Nunes Silva, Henrique Tibério Brandão Vieira Augusto, Paulo Oliveira Sampaio Reis, Isadora Bastos Chaves, Samara Beatriz Naka de Vasconcellos et al.
      Pages 137-147

    4. Automatic Information Extraction: A Distant Reading of the Brazilian Historical-Biographical Dictionary

      • Suemi Higuchi, Claudia Freitas, Diana Santos
      Pages 148-155

    5. Automatic Recognition of Units of Measurement in Product Descriptions from Tax Invoices Using Neural Networks

      • Lucas Fernandes Lucena, Telmo de Menezes e Silva Filho, Thaís Gaudencio do Rêgo, Yuri Malheiros
      Pages 156-165

    6. Entity Extraction from Portuguese Legal Documents Using Distant Supervision

      • Lucas M. Navarezi, Kenzo Sakiyama, Lucas S. Rodrigues, Caio M. O. Robaldo, Gustavo R. Lobato, Paulo A. Vilela et al.
      Pages 166-176

    7. Sexist Hate Speech: Identifying Potential Online Verbal Violence Instances

      • Brenda Salenave Santana, Aline Aver Vanin, Leandro Krug Wives
      Pages 177-187
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Other volumes

  1. Computational Processing of the Portuguese Language

Editors and Affiliations

  • Universidade de Fortaleza, Fortaleza, Brazil

    Vládia Pinheiro

  • CiTIUS - Universidade de Santiago de Compostela, Santiago de Compostela, Spain

    Pablo Gamallo

  • Universidade Nova de Lisboa, Lisbon, Portugal

    Raquel Amaro

  • University of Sheffield, Sheffield, UK

    Carolina Scarton

  • INESC-ID, Lisbon, Portugal

    Fernando Batista

  • Federal University of São Carlos, São Carlos, Brazil

    Diego Silva

  • University of Lisbon, Lisbon, Portugal

    Catarina Magro

  • Sentimonitor, Porto Alegre, Brazil

    Hugo Pinto

Bibliographic Information

  • Book Title: Computational Processing of the Portuguese Language

  • Book Subtitle: 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21–23, 2022, Proceedings

  • Editors: Vládia Pinheiro, Pablo Gamallo, Raquel Amaro, Carolina Scarton, Fernando Batista, Diego Silva, Catarina Magro, … Hugo Pinto

  • Series Title: Lecture Notes in Computer Science

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

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-030-98304-8Published: 18 March 2022

  • eBook ISBN: 978-3-030-98305-5Published: 17 March 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVII, 442

  • Number of Illustrations: 24 b/w illustrations, 64 illustrations in colour

  • Topics: Artificial Intelligence, Computer Applications, Information Systems and Communication Service

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