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Computational Processing of the Portuguese Language

13th International Conference, PROPOR 2018, Canela, Brazil, September 24–26, 2018, Proceedings

  • Aline Villavicencio
  • Viviane Moreira
  • Alberto Abad
  • Helena Caseli
  • Pablo Gamallo
  • Carlos Ramisch
  • Hugo Gonçalo Oliveira
  • Gustavo Henrique Paetzold
Conference proceedings PROPOR 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11122)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11122)

Table of contents

  1. Front Matter
    Pages I-XVII
    PDF

  2. Corpus Linguistics

    1. Front Matter
      Pages 1-1
      PDF
    2. Analyzing the Rhetorical Structure of Opinion Articles in the Context of a Brazilian College Entrance Examination
      Karina Soares dos Santos, Mariana Soder, Bruna Stefany Batista Marques, Valéria Delisandra Feltrim
      Pages 3-12
    3. SMILLE for Portuguese: Annotation and Analysis of Grammatical Structures in a Pedagogical Context
      Leonardo Zilio, Rodrigo Wilkens, Cédrick Fairon
      Pages 13-23
    4. A Corpus Study of Verbal Multiword Expressions in Brazilian Portuguese
      Carlos Ramisch, Renata Ramisch, Leonardo Zilio, Aline Villavicencio, Silvio Cordeiro
      Pages 24-34

  3. Information Extraction

    1. Front Matter
      Pages 35-35
      PDF
    2. Nominal Coreference Resolution Using Semantic Knowledge
      Evandro Fonseca, Aline Vanin, Renata Vieira
      Pages 37-45
    3. Pragmatic Information Extraction in Brazilian Portuguese Documents
      Cleiton Fernando Lima Sena, Daniela Barreiro Claro
      Pages 46-56
    4. Concordance Comparison as a Means of Assembling Local Grammars
      Juliana P. C. Pirovani, Elias de Oliveira, Eric Laporte
      Pages 57-65
    5. Challenges of an Annotation Task for Open Information Extraction in Portuguese
      Rafael Glauber, Leandro Souza de Oliveira, Cleiton Fernando Lima Sena, Daniela Barreiro Claro, Marlo Souza
      Pages 66-76
    6. Task-Oriented Evaluation of Dependency Parsing with Open Information Extraction
      Pablo Gamallo, Marcos Garcia
      Pages 77-82
    7. Portuguese Named Entity Recognition Using LSTM-CRF
      Pedro Vitor Quinta de Castro, Nádia Félix Felipe da Silva, Anderson da Silva Soares
      Pages 83-92
    8. Disambiguating Open IE: Identifying Semantic Similarity in Relation Extraction by Word Embeddings
      Leandro M. P. Sanches, Victor S. Cardel, Larissa S. Machado, Marlo Souza, Lais N. Salvador
      Pages 93-103

  4. Natural Language Processing Applications

    1. Front Matter
      Pages 105-105
      PDF
    2. Personality Recognition from Facebook Text
      Barbara Barbosa Claudino da Silva, Ivandré Paraboni
      Pages 107-114
    3. Portuguese Native Language Identification
      Shervin Malmasi, Iria del Río, Marcos Zampieri
      Pages 115-124
    4. Text-Image Alignment in Portuguese News Using LinkPICS
      Wellington Cristiano Veltroni, Helena de Medeiros Caseli
      Pages 125-135
    5. When, Where, Who, What or Why? A Hybrid Model to Question Answering Systems
      Eduardo G. Cortes, Vinicius Woloszyn, Dante A. C. Barone
      Pages 136-146
    6. Indexing Names of Persons in a Large Dataset of a Newspaper
      Juliana P. C. Pirovani, Matheus Nogueira, Elias de Oliveira
      Pages 147-155
    7. ACA - Learning with Alternative Communication
      Maria Renata de Mira Gobbo, Cinthyan Renata Sachs C. de Barbosa, José Luiz Villela Marcondes Mioni, Fernanda Mafort
      Pages 156-163
    8. Querying an Ontology Using Natural Language
      Ana Marisa Salgueiro, Catarina Bilé Alves, João Balsa
      Pages 164-169
    9. Automatically Grading Brazilian Student Essays
      Erick Fonseca, Ivo Medeiros, Dayse Kamikawachi, Alessandro Bokan
      Pages 170-179
    10. Analyzing Actions in Play-by-Forum RPG
      Artur de Oliveira da Rocha Franco, José Wellington Franco da Silva, Vládia Célia Monteiro Pinheiro, José Gilvan Rodrigues Maia, Fernando Antonio de Carvalho Gomes, Miguel Franklin de Castro
      Pages 180-190
    11. Technical Implementation of the Vocabulário Ortográfico Comum da Língua Portuguesa
      Maarten Janssen, José Pedro Ferreira
      Pages 191-200
    12. Identifying Intensification Processes in Brazilian Sign Language in the Framework of Brazilian Portuguese Machine Translation
      Francisco Aulísio dos S. Paiva, José Mario De Martino, Plínio A. Barbosa, Pablo P. F. Faria, Ivani R. Silva, Luciana A. Rosa
      Pages 201-210
    13. Using a Discourse Bank and a Lexicon for the Automatic Identification of Discourse Connectives
      Amália Mendes, Iria del Río
      Pages 211-221
    14. The Other C: Correcting OCR Words in the Presence of Diacritical Marks
      Sérgio Luís Sardi Mergen, Leonardo de Abreu Schmidt
      Pages 222-230
    15. Temporal Tagging of Noisy Clinical Texts in Brazilian Portuguese
      Rafael Faria de Azevedo, João Pedro Santos Rodrigues, Mayara Regina da Silva Reis, Claudia Maria Cabral Moro, Emerson Cabrera Paraiso
      Pages 231-241
    16. Syntactic Knowledge for Natural Language Inference in Portuguese
      Erick Fonseca, Sandra M. Aluísio
      Pages 242-252

  5. Language Resources

    1. Front Matter
      Pages 253-253
      PDF
    2. RulingBR: A Summarization Dataset for Legal Texts
      Diego de Vargas Feijó, Viviane Pereira Moreira
      Pages 255-264
    3. Learning Word Embeddings from Portuguese Lexical-Semantic Knowledge Bases
      Hugo Gonçalo Oliveira
      Pages 265-271
    4. SIMPLEX-PB: A Lexical Simplification Database and Benchmark for Portuguese
      Nathan S. Hartmann, Gustavo H. Paetzold, Sandra M. Aluísio
      Pages 272-283
    5. Analysing Semantic Resources for Coreference Resolution
      Thiago Lima, Sandra Collovini, Ana Leal, Evandro Fonseca, Xiaoxuan Han, Siyu Huang et al.
      Pages 284-293
    6. Annotation of a Corpus of Tweets for Sentiment Analysis
      Allisfrank dos Santos, Jorge Daniel Barros Júnior, Heloisa de Arruda Camargo
      Pages 294-302
    7. SICK-BR: A Portuguese Corpus for Inference
      Livy Real, Ana Rodrigues, Andressa Vieira e Silva, Beatriz Albiero, Bruna Thalenberg, Bruno Guide et al.
      Pages 303-312
    8. LeNER-Br: A Dataset for Named Entity Recognition in Brazilian Legal Text
      Pedro Henrique Luz de Araujo, Teófilo E. de Campos, Renato R. R. de Oliveira, Matheus Stauffer, Samuel Couto, Paulo Bermejo
      Pages 313-323
    9. Contributions to the Study of Fake News in Portuguese: New Corpus and Automatic Detection Results
      Rafael A. Monteiro, Roney L. S. Santos, Thiago A. S. Pardo, Tiago A. de Almeida, Evandro E. S. Ruiz, Oto A. Vale
      Pages 324-334
    10. Creating a Portuguese Context Sensitive Lexicon for Sentiment Analysis
      Mateus Tarcinalli Machado, Thiago A. S. Pardo, Evandro Eduardo Seron Ruiz
      Pages 335-344
    11. A Parallel Corpus of Theses and Dissertations Abstracts
      Felipe Soares, Gabrielli Harumi Yamashita, Michel Jose Anzanello
      Pages 345-352
    12. Development of a Brazilian Portuguese Hotel’s Reviews Corpus
      Joana Gabriela Ribeiro de Souza, Alcione de Paiva Oliveira, Alexandra Moreira
      Pages 353-361

  6. Sentiment Analysis & Opinion Mining

    1. Front Matter
      Pages 363-363
      PDF
    2. Aspect Clustering Methods for Sentiment Analysis
      Francielle Alves Vargas, Thiago Alexandre Salgueiro Pardo
      Pages 365-374
    3. Finding Opinion Targets in News Comments and Book Reviews
      Leonardo Gabiato Catharin, Valéria Delisandra Feltrim
      Pages 375-384
    4. Semi-supervised Sentiment Annotation of Large Corpora
      Henrico Bertini Brum, Maria das Graças Volpe Nunes
      Pages 385-395

  7. Speech Processing

    1. Front Matter
      Pages 397-397
      PDF
    2. What Weighs for Word Stress? Big Data Mining and Analyses of Phonotactic Distributions in Brazilian Portuguese
      Amanda Post da Silveira, Eric Sanders, Gustavo Mendonça, Ton Dijkstra
      Pages 399-408
    3. Sentence Segmentation and Disfluency Detection in Narrative Transcripts from Neuropsychological Tests
      Marcos Vinícius Treviso, Sandra Maria Aluísio
      Pages 409-418
    4. Imitating Broadcast News Style: Commonalities and Differences Between French and Brazilian Professionals
      Plinio A. Barbosa, Philippe Boula de Mareüil
      Pages 419-428
    5. Automatic Detection of Prosodic Boundaries in Brazilian Portuguese Spontaneous Speech
      Bárbara Teixeira, Plínio Barbosa, Tommaso Raso
      Pages 429-437

About these proceedings

Introduction


This book constitutes the refereed proceedings of the 13th International Conference on Computational Processing of the Portuguese Language, PROPOR 2018, held in Canela, RS, Brazil, in September 2018.

The 42 full papers, 3 short papers and 4 other papers presented in this volume were carefully reviewed and selected from 92 submissions. The papers are organized in topical sections named: Corpus Linguistics, Information Extraction, Language
Applications, Language Resources, Sentiment Analysis and Opinion Mining, Speech Processing, and Syntax and Parsing.

Keywords

Artificial Intelligence Natural Language Processing Language Resources Corpus Linguistics Speech Recognition Portuguese Language Processing Semantics computational linguistics natural language processing ontologies information extraction semantic analysis neural networks names entities speech perception names entity recognition

Editors and affiliations

  1. 1.Institute of InformaticsFederal University of Rio Grande do SulPorto AlegreBrazil
  2. 2.Instituto de Informática - UFRGSPorto AlegreBrazil
  3. 3.INESC-IDLisbonPortugal
  4. 4.UFSCARSao CarlosBrazil
  5. 5.Centro Singular de Investigación en TecnoloxíasUniversidade de Santiago de CompostelaSantiago de CompostelaSpain
  6. 6.Université de ToulonParc Scientifique Technologique LuminyMarseilleFrance
  7. 7.Centro de Informática e SistemasUniversidade de CoimbraCoimbraPortugal
  8. 8.Federal University of TechnologyDois VizinhosBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-99722-3
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-99721-6
  • Online ISBN 978-3-319-99722-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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