Computational processing of the Portuguese Language : 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21-23, 2022, Proceedings / Vládia Pinheiro, Pablo Gamallo, Raquel Amaro, Carolina Scarton, Fernando Batista, Diego Silva, Catarina Magro, Hugo Pinto (eds.).
PROPOR (Conference) (15th : 2022 : Online); Pinheiro, Vládia, editor.; Gamallo, Pablo, editor.; Amaro, Raquel, editor.; Scarton, Carolina, editor.; Batista, Fernando, editor.; Silva, Diego, editor.; Magro, Catarina, editor.; Pinto, Hugo, editor.
2022
PC5044.5 .P76 2022eb
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Title Computational processing of the Portuguese Language : 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21-23, 2022, Proceedings / Vládia Pinheiro, Pablo Gamallo, Raquel Amaro, Carolina Scarton, Fernando Batista, Diego Silva, Catarina Magro, Hugo Pinto (eds.).
Meeting Name PROPOR (Conference) (15th : 2022 : Online)
ISBN 9783030983055 (electronic bk.)
3030983056 (electronic bk.)
9783030983048 (print)
3030983048
DOI https://doi.org/10.1007/978-3-030-98305-5
Published Cham, Switzerland : Springer, 2022.
Language English
Description 1 online resource (xvii, 442 pages) : illustrations (some color).
Item Number 10.1007/978-3-030-98305-5 doi
Call Number PC5044.5 .P76 2022eb
Dewey Decimal Classification 469.0285/635
Summary 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.
Note "Given the situation of the COVID-19 pandemic, PROPOR 2022 was moved to fully online."
Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed March 23, 2022).
Added Author Pinheiro, Vládia, editor.
Gamallo, Pablo, editor.
Amaro, Raquel, editor.
Scarton, Carolina, editor.
Batista, Fernando, editor.
Silva, Diego, editor.
Magro, Catarina, editor.
Pinto, Hugo, editor.
Series Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 13208.
LNCS sublibrary. SL 7, Artificial intelligence.
Available in Other Form Print version: 9783030983048
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Resources and Evaluation
UlyssesNER-Br: a corpus of Brazilian legislative documents for named entity recognition
A test-suite for the evaluation of Portuguese-English machine translations
MINT - Mainstream and Independent News Text corpus
Fakepedia Corpus: a flexible fake news corpus in Portuguese
A targeted assessment of the syntactic abilities of Transformer models for Galician-Portuguese
FakeRecogna: A new Brazilian corpus for fake news detection
Implicit opinion aspect clues in Portuguese texts: analysis and categorization
CRPC-DB A discourse bank for Portuguese
Challenges in annotating a treebank of clinical narratives in Brazilian Portuguese
PetroBERT: a domain adaptation language model for oil and gas applications in Portuguese
SS-PT: A stance and sentiment data set from Portuguese quoted tweets
Natural Language Processing Tasks
ZeroBERTo - leveraging zero-shot text classification by topic modeling
Banking regulation classification in Portuguese
Automatic information extraction: a distant reading of the Brazilian Historical-Biographical Dictionary
Automatic recognition of units of measurement in product descriptions from tax invoices using neural networks
Entity extraction from Portuguese legal documents using distant supervision
Sexist hate speech: identifying potential online verbal violence instances
Book genre classification based on reviews of Portuguese-language Literature
Combining word embeddings for Portuguese named entity recognition
BERT for sentiment analysis: pre-trained and fine-tuned alternatives
Fostering judiciary applications with new fine-tuned models for Legal Named Entity recognition in Portuguese
Natural Language Processing Applications
Using topic modeling in classification of Brazilian lawsuits
PortNOIE: A neural framework for Open Information Extraction for the Portuguese language
Tracking environmental policy changes in the Brazilian Federal Official Gazette
A transfer learning analysis of political leaning classification in cross-domain content
Integrating question answering and text-to-SQL in Portuguese
Named Entity Extractors for new domains by Transfer Learning with automatically annotated data
PTT5-Paraphraser: Diversity and meaning fidelity in automatic Portuguese paraphrasing
Speech Processing and Applications
A protocol for comparing gesture and prosodic boundaries in multimodal corpora
Forced phonetic alignment in Brazilian Portuguese using time-delay neural networks
Brazilian Portuguese speech recognition using Wav2Vec 2.0
A corpus of neutral voice speech in Brazilian Portuguese
Comparing lexical and usage frequencies of palatal segments in Portuguese
Lexical Semantics
Extracting valences from a dependency treebank for populating the verb lexicon of a Portuguese HPSG grammar
CQL grammars for lexical and semantic information extraction for Portuguese and Italian
Drilling Lexico-Semantic Knowledge in Portuguese from BERT
Short Papers
The systematic construction of multiple types of corpora through the Lapelinc Framework
Revisiting CCNET for quality measurements in Galician
Identifying literary characters in Portuguese: Challenges of an international shared task
Should I buy or should I pass: e-commerce datasets in Portuguese
Best MsC/MA & PhD Dissertation
Abstract meaning representation parsing for the Brazilian Portuguese language
Enriching Portuguese word embeddings with visual information.-.

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