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2020 – today
- 2024
[j12]Manoel Veríssimo dos Santos Neto
, Nádia Félix F. da Silva, Anderson da Silva Soares:
A survey and study impact of tweet sentiment analysis via transfer learning in low resource scenarios. Lang. Resour. Evaluation 58(1): 133-174 (2024)- [c27]Hidelberg Albuquerque, Ellen Souza, Tainan Silva, Rafael P. Gouveia, Flávio Rocha Junior, Douglas Vitório, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho, Adriano Lorena Inácio de Oliveira, Francisco Edmundo de Andrade:
UlyssesNERQ: Expanding Queries from Brazilian Portuguese Legislative Documents through Named Entity Recognition. PROPOR 2024: 342-352 - [c26]Eduardo Augusto Santos Garcia, Nádia Félix F. da Silva, Felipe Siqueira, Hidelberg Oliveira Albuquerque, Juliana Resplande Sant'Anna Gomes, Ellen Souza, Eliomar Araújo de Lima:
RoBERTaLexPT: A Legal RoBERTa Model pretrained with deduplication for Portuguese. PROPOR 2024: 374-383 - [c25]Dyonnatan Ferreira Maia, Nádia Félix Felipe da Silva:
Enhancing Stance Detection in Low-Resource Brazilian Portuguese Using Corpus Expansion generated by GPT-3.5. PROPOR 2024: 503-508 - [c24]Diany Pressato, Pedro Lucas Castro de Andrade, Flávio Rocha Junior, Felipe Alves Siqueira, Ellen Polliana Ramos Souza, Nádia Félix Felipe da Silva, Márcio de Souza Dias, André Carlos Ponce de Leon Ferreira de Carvalho:
Natural Language Processing Application in Legislative Activity: a Case Study of Similar Amendments in the Brazilian Senate. PROPOR 2024: 614-619 - 2023
- [j11]Hidelberg Oliveira Albuquerque, Ellen Souza, Carlos Gomes, Matheus Henrique de C. Pinto, Ricardo P. S. Filho, Rosimeire Costa, Vinícius Teixeira de M. Lopes, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho, Adriano L. I. Oliveira:
Named Entity Recognition: a Survey for the Portuguese Language. Proces. del Leng. Natural 70: 171-185 (2023) - [c23]Pedro Henrique Teixeira, Nádia Félix F. da Silva, Rogerio Salvini:
Machine Learning Based Method for Auditing Personnel Expenses in Public Expenditure. COMPSAC 2023: 428-437 - [c22]Douglas Silva, Sérgio T. Carvalho, Nádia Félix Felipe da Silva:
On identifying early blockable taxpayers on goods and services trading operations. DG.O 2023: 405-413 - [c21]Hidelberg Oliveira Albuquerque, Ellen Souza, Adriano L. I. Oliveira, David Macêdo, Cleber Zanchettin, Douglas Vitório, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho:
On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents. EPIA (2) 2023: 93-104 - [i5]Gabriel Oliveira dos Santos, Diego A. B. Moreira, Alef Iury Ferreira, Jhessica Silva, Luiz Pereira, Pedro Bueno, Thiago Sousa, Helena Almeida Maia, Nádia Félix F. da Silva, Esther Colombini, Hélio Pedrini, Sandra Avila:
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource Languages. CoRR abs/2310.13683 (2023) - [i4]Eduardo Garcia, Juliana Resplande Sant'Anna Gomes, Adalberto Ferreira Barbosa Junior, Cardeque Borges, Nádia Félix F. da Silva:
DeepLearningBrasil@LT-EDI-2023: Exploring Deep Learning Techniques for Detecting Depression in Social Media Text. CoRR abs/2311.05047 (2023) - [i3]Juliana Resplande Sant'Anna Gomes, Eduardo Augusto Santos Garcia, Adalberto Ferreira Barbosa Junior, Ruan Chaves Rodrigues, Diogo Fernandes Costa Silva, Dyonnatan Ferreira Maia, Nádia Félix Felipe da Silva, Arlindo Rodrigues Galvão Filho, Anderson da Silva Soares:
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches. CoRR abs/2311.05051 (2023) - 2022
- [j10]Leonardo P. de Morais, Roger Immich, Nádia Félix F. da Silva, Thierson Couto Rosa, Vinicius da Cunha Martins Borges:
Characterization of the Mobile User Profile Based on Sentiments and Network Usage Attributes. J. Internet Serv. Appl. 13(1): 82-97 (2022) - [c20]Douglas Vitório, Ellen Souza, Lucas Martins, Nádia Félix F. da Silva, André Carlos Ponce de Leon Ferreira de Carvalho, Adriano L. I. Oliveira:
Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback. BRACIS (1) 2022: 77-91 - [c19]Dyonnatan Ferreira Maia, Nádia Félix F. da Silva, Ellen Polliana Ramos Souza, Augusto Sousa Nunes, Lucas C. Procópio, Guthemberg da S. Sampaio, Márcio de Souza Dias, Adrio O. Alves, Dyéssica F. Maia, Ingrid A. Ribeiro, Fabíola S. F. Pereira, André C. P. L. F. de Carvalho:
UlyssesSD-Br: Stance Detection in Brazilian Political Polls. EPIA 2022: 85-95 - [c18]Rosimeire Costa, Hidelberg Oliveira Albuquerque, Gabriel Silvestre, Nádia Félix F. da Silva, Ellen Souza, Douglas Vitório, Augusto Nunes, Felipe Siqueira, João Pedro M. Tarrega, João Vitor P. Beinotti, Márcio de Souza Dias, Fabíola S. F. Pereira, Matheus Silva, Miguel de Mattos Gardini, Vinícius Adolfo Pereira da Silva, André C. P. L. F. de Carvalho, Adriano Lorena Inácio de Oliveira:
Expanding UlyssesNER-Br Named Entity Recognition Corpus with Informal User-Generated Text. EPIA 2022: 767-779 - [c17]Hidelberg Oliveira Albuquerque, Rosimeire Costa, Gabriel Silvestre, Ellen Souza, Nádia Félix F. da Silva, Douglas Vitório, Gyovana Moriyama, Lucas Martins, Luiza Soezima, Augusto Nunes, Felipe Siqueira, João Pedro M. Tarrega, João Vitor P. Beinotti, Márcio de Souza Dias, Matheus Silva, Miguel de Mattos Gardini, Vinícius Adolfo Pereira da Silva, André C. P. L. F. de Carvalho, Adriano L. I. Oliveira:
UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition. PROPOR 2022: 3-14 - [c16]Juliana Resplande Sant'Anna Gomes, Eduardo Augusto Santos Garcia, Adalberto Ferreira Barbosa Junior, Ruan Chaves Rodrigues, Diogo Fernandes Costa Silva, Dyonnatan Ferreira Maia, Nádia Félix Felipe da Silva, Arlindo Rodrigues Galvão Filho, Anderson da Silva Soares:
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches. IberLEF@SEPLN 2022 - [i2]Marília Costa Rosendo Silva, Felipe Alves Siqueira, João Pedro Mantovani Tarrega, João Vitor Pataca Beinotti, Augusto Sousa Nunes, Miguel de Mattos Gardini, Vinícius Adolfo Pereira da Silva, Nádia Félix Felipe da Silva, André Carlos Ponce de Leon Ferreira de Carvalho:
No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling. CoRR abs/2208.01712 (2022) - 2021
- [j9]Airton Bordin Junior, Nádia Félix F. da Silva, Thierson Couto Rosa, Celso G. Camilo-Junior:
Sentiment analysis with genetic programming. Inf. Sci. 562: 116-135 (2021) - [j8]Alison Pereira Ribeiro, Nádia Félix Felipe da Silva, Fernanda Neiva Mesquita, Priscila de Cássia Souza Araújo, Thierson Couto Rosa, José Neiva Mesquita-Neto:
Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds. PLoS Comput. Biol. 17(9) (2021) - [j7]Eliene Ribeiro Rosa, Deller James Ferreira, Nádia Félix Felipe da Silva, Alfredo Assis:
Estudo Exploratório através de Análises Longitudinais aplicado à Ciência da Computação a partir da Base de Dados do ENADE. Revista Brasileira de Informática na Educ. 29: 1463-1486 (2021) - [c15]Nádia Félix F. da Silva, Marília Costa R. Silva, Fabíola S. F. Pereira, João Pedro M. Tarrega, João Vitor P. Beinotti, Márcio Fonseca, Francisco Edmundo de Andrade, André C. P. L. F. de Carvalho:
Evaluating Topic Models in Portuguese Political Comments About Bills from Brazil's Chamber of Deputies. BRACIS (2) 2021: 104-120 - [c14]Ellen Souza, Douglas Vitório, Gyovana Moriyama, Luiz Santos, Lucas Martins, Mariana Souza, Márcio Fonseca F. da Silva, Nádia Félix, André C. P. L. F. de Carvalho, Hidelberg Oliveira Albuquerque, Adriano L. I. Oliveira:
An Information Retrieval Pipeline for Legislative Documents from the Brazilian Chamber of Deputies. JURIX 2021: 119-126 - 2020
- [j6]Lafaiet Silva, Nádia Félix F. da Silva, Thierson Rosa:
Success prediction of crowdfunding campaigns: a two-phase modeling. Int. J. Web Inf. Syst. 16(4): 387-412 (2020) - [c13]Ruan Chaves Rodrigues, Jéssica Rodrigues da Silva, Pedro Vitor Quinta de Castro, Nádia Félix Felipe da Silva, Anderson da Silva Soares:
Portuguese Language Models and Word Embeddings: Evaluating on Semantic Similarity Tasks. PROPOR 2020: 239-248 - [c12]Manoel Veríssimo dos Santos Neto, Ayrton Denner da Silva Amaral, Nádia Félix F. da Silva, Anderson da Silva Soares:
Deep Learning Brasil - NLP at SemEval-2020 Task 9: Sentiment Analysis of Code-Mixed Tweets Using Ensemble of Language Models. SemEval@COLING 2020: 1233-1238 - [i1]Manoel Veríssimo dos Santos Neto, Ayrton Denner da Silva Amaral, Nádia Félix Felipe da Silva, Anderson da Silva Soares:
Deep Learning Brasil - NLP at SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets. CoRR abs/2008.01544 (2020)
2010 – 2019
- 2019
- [c11]Alison Ribeiro, Nádia Félix F. da Silva:
INF-HatEval at SemEval-2019 Task 5: Convolutional Neural Networks for Hate Speech Detection Against Women and Immigrants on Twitter. SemEval@NAACL-HLT 2019: 420-425 - [c10]Pedro Vitor Quinta de Castro, Nádia Félix Felipe da Silva, Anderson da Silva Soares:
Contextual Representations and Semi-Supervised Named Entity Recognition for Portuguese Language. IberLEF@SEPLN 2019: 411-420 - [c9]Ruan Chaves Rodrigues, Jéssica Rodrigues da Silva, Pedro Vitor Quinta de Castro, Nádia Félix Felipe da Silva, Anderson da Silva Soares:
Multilingual Transformer Ensembles for Portuguese Natural Language Tasks. ASSIN@STIL 2019: 27-38 - 2018
- [c8]Pedro Vitor Quinta de Castro, Nádia Félix Felipe da Silva, Anderson da Silva Soares:
Portuguese Named Entity Recognition Using LSTM-CRF. PROPOR 2018: 83-92 - [c7]Rita Almeida Ribeiro, Nádia Félix F. da Silva:
#TeamINF at SemEval-2018 Task 2: Emoji Prediction in Tweets. SemEval@NAACL-HLT 2018: 415-418 - [c6]Dayan de França Costa, Nádia Félix Felipe da Silva:
INF-UFG at FiQA 2018 Task 1: Predicting Sentiments and Aspects on Financial Tweets and News Headlines. WWW (Companion Volume) 2018: 1967-1971 - 2016
- [b1]Nádia Félix Felipe da Silva:
Sentiment analysis in short texts from social networks. University of São Paulo, Brazil, 2016 - [j5]Nádia Félix Felipe da Silva, Luiz F. S. Coletta, Eduardo R. Hruschka:
A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning. ACM Comput. Surv. 49(1): 15:1-15:26 (2016) - [j4]Nádia Félix Felipe da Silva, Luiz F. S. Coletta, Eduardo R. Hruschka, Estevam R. Hruschka Jr.:
Using unsupervised information to improve semi-supervised tweet sentiment classification. Inf. Sci. 355-356: 348-365 (2016) - 2014
- [j3]Nádia Félix F. da Silva, Eduardo R. Hruschka, Estevam R. Hruschka Jr.:
Tweet sentiment analysis with classifier ensembles. Decis. Support Syst. 66: 170-179 (2014) - [c5]Luiz Fernando Sommaggio Coletta, Nádia Félix F. da Silva, Eduardo R. Hruschka, Estevam R. Hruschka Jr.:
Combining Classification and Clustering for Tweet Sentiment Analysis. BRACIS 2014: 210-215 - [c4]Nádia Félix F. da Silva, Estevam R. Hruschka Jr., Eduardo R. Hruschka:
Biocom_Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble. SemEval@COLING 2014: 123-128 - 2013
- [j2]Sandra de Amo, Marcos L. P. Bueno, Guilherme Alves, Nádia Félix F. da Silva:
Mining User Contextual Preferences. J. Inf. Data Manag. 4(1): 37-46 (2013) - 2012
- [c3]Sandra de Amo, Marcos L. P. Bueno, Guilherme Alves, Nádia Félix F. da Silva:
CPrefMiner: An Algorithm for Mining User Contextual Preferences Based on Bayesian Networks. ICTAI 2012: 114-121 - [c2]Sandra de Amo, Marcos L. P. Bueno, Guilherme Alves, Nádia Félix F. da Silva:
Mining User Contextual Preferences. SBBD (Short Papers) 2012: 177-184 - 2011
- [j1]Nádia Félix F. da Silva, Sandra de Amo:
CPrefMiner: A Bayesian Miner of Conditional Preferences. J. Inf. Data Manag. 2(1): 35-42 (2011) - 2010
- [c1]Nádia Félix F. da Silva, Sandra de Amo:
CPrefMiner: Um Minerador Bayesiano de Preferências Condicionais. SBBD (Posters) 2010: 4:1-4:8
Coauthor Index
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: Adriano L. I. Oliveira
aka: Ellen Polliana Ramos Souza
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last updated on 2024-04-25 02:06 CEST by the dblp team
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