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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 26 1 Analysis of a Brazilian Indigenous corpus using machine learning methods ... Brazilian Conference on Intelligent Systems 2021; de Lima, Tiago; Mello, Rafael. - : Underline Science Inc., 2021 BASE Show details 2 A Heterogeneous Network-based Positive and Unlabeled Learning Approach to Detect Fake News ... Brazilian Conference on Intelligent Systems 2021; Marcacini, Ricardo; Nogueira, Bruno. - : Underline Science Inc., 2021 BASE Show details 3 Universal Dependencies-based PoS Tagging Refinement through Linguistic Resources ... Brazilian Conference on Intelligent Systems 2021; Duran, Magali; Lopes, Lucelene; Pardo, Thiago. - : Underline Science Inc., 2021 Abstract: This paper presents a technique that employs linguistic resources to refine PoS tagging using the Universal Dependencies (UD) model. The technique is based on the development and use of lists of non-ambiguous single tokens and non-ambiguous co-occuring tokens in Portuguese (regardless of whether they constitute multiword expressions or not). These lists are meant to automatilly correct the tags for such tokens after tagging. The technique is applied over the output of two well-known state of the art systems - UDPipe and UDify - and the results for a real data set have shown a significant improvement of annotation accuracy. Overall, we improve tagging accuracy by up to 1.4%, and, in terms of the number of fully correct tagged sentences, our technique produces results that are 13.9% more accurate than the corresponding original system. ... URL: https://underline.io/lecture/41485-universal-dependencies-based-pos-tagging-refinement-through-linguistic-resources https://dx.doi.org/10.48448/6egc-dp10 BASE Hide details 4 Experiments on Kaldi-based Forced Phonetic Alignment for Brazilian Portuguese ... Brazilian Conference on Intelligent Systems 2021; Batista, Cassio; Neto, Nelson. - : Underline Science Inc., 2021 BASE Show details 5 Evaluating Topic Models in Portuguese Political Comments about Bills from Brazil's Chamber of Deputies ... Brazilian Conference on Intelligent Systems 2021; Silva, Marilia. - : Underline Science Inc., 2021 BASE Show details 6 mRAT-SQL+GAP: A Portuguese Text-to-SQL Transformer ... Brazilian Conference on Intelligent Systems 2021; Gagliardi Cozman, Fábio; José, Marcelo. - : Underline Science Inc., 2021 BASE Show details 7 Comparing contextual embeddings for semantic textual similarity in Portuguese ... Brazilian Conference on Intelligent Systems 2021; Andrade, José; Bezerra, Leonardo. - : Underline Science Inc., 2021 BASE Show details 8 Explorando a revisão de corpora por meio da comparação de regras gramaticais em padrões sintáticos ... Brazilian Conference on Intelligent Systems 2021; Figueiredo de Alencar, Leonel; Rademaker, Alexandre. - : Underline Science Inc., 2021 BASE Show details 9 Compilação de um corpus etiquetado da Língua Geral Amazônica ... Brazilian Conference on Intelligent Systems 2021; Figueiredo de Alencar, Leonel; Gurgel, Juliana L.. - : Underline Science Inc., 2021 BASE Show details 10 A propósito do verbo falar no português brasileiro: uma análise em corpus e em bases de dados verbais ... Brazilian Conference on Intelligent Systems 2021; Leme Coelho, Francimeire; Lemos Couto, Marcella Monteiro. - : Underline Science Inc., 2021 BASE Show details 11 Utilizando Pistas Linguísticas para Detectar Notícias Falsas em Português ... Brazilian Conference on Intelligent Systems 2021; Freitas, Larissa; Rodrigues, Rodrigo. - : Underline Science Inc., 2021 BASE Show details 12 Measuring Brazilian Portuguese Product Titles Similarity using Embeddings ... Brazilian Conference on Intelligent Systems 2021; Caseli, Helena; Real, Livy. - : Underline Science Inc., 2021 BASE Show details 13 Banco de dados VerboWeb: um panorama do léxico verbal do PB ... Brazilian Conference on Intelligent Systems 2021; Amaral, Luana; Bechir, Thaís. - : Underline Science Inc., 2021 BASE Show details 14 Entity Relation Extraction from News Articles in Portuguese for Competitive Intelligence based on BERT ... Brazilian Conference on Intelligent Systems 2021; Bordini, Rafael; Manssour, Isabel. - : Underline Science Inc., 2021 BASE Show details 15 A Weakly Supervised Dataset of Fine-Grained Emotions in Portuguese ... Brazilian Conference on Intelligent Systems 2021; Cortiz, Diogo. - : Underline Science Inc., 2021 BASE Show details 16 Utilizando um Dicionário Morfológico para expandir a cobertura lexical de uma Gramática do Português no formalismo HPSG ... Brazilian Conference on Intelligent Systems 2021; Figueiredo de Alencar, Leonel; Nunes, Ana Luiza. - : Underline Science Inc., 2021 BASE Show details 17 Efeitos da variação linguística na decisão lexical ... Brazilian Conference on Intelligent Systems 2021; Freitag, Raquel Meister Ko.; Souza, Victor Renê Andrade. - : Underline Science Inc., 2021 BASE Show details 18 Lexicalidade biomédica e sua mensuração em um corpus sobre COVID-19 em língua portuguesa ... Brazilian Conference on Intelligent Systems 2021; Araujo Nogueira, Wellington; da Silva Leite, Janaína. - : Underline Science Inc., 2021 BASE Show details 19 Descrição de uma metodologia desenvolvida para revisão semiautomática de um léxico de palavras de emoção ... Brazilian Conference on Intelligent Systems 2021; Ramos, Barbara. - : Underline Science Inc., 2021 BASE Show details 20 Otimização evolutiva lexicográfica de um portfólio de estratégias automatizadas no mercado futuro brasileiro ... Brazilian Conference on Intelligent Systems 2021; Guedes, Anderson; Loula, Angelo. - : Underline Science Inc., 2021 BASE Show details Page: 1 2

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