Nádia Félix Felipe da Silva

A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning

Eduardo R. Hruschka, Luiz F. S. Coletta, Nádia Félix Felipe da Silva, 2016, ACM Comput. Surv..

Multilingual Transformer Ensembles for Portuguese Natural Language Tasks

Anderson da Silva Soares, Nádia Félix Felipe da Silva, Ruan Chaves Rodrigues, 2019, ASSIN@STIL.

Contextual Representations and Semi-Supervised Named Entity Recognition for Portuguese Language

Nádia Félix Felipe da Silva, Pedro Vitor Quinta de Castro, Anderson da Silva Soares, 2019, IberLEF@SEPLN.

Portuguese Language Models and Word Embeddings: Evaluating on Semantic Similarity Tasks

Anderson da Silva Soares, Nádia Félix Felipe da Silva, Ruan Chaves Rodrigues, 2020, PROPOR.

INF-UFG at FiQA 2018 Task 1: Predicting Sentiments and Aspects on Financial Tweets and News Headlines

Nádia Félix Felipe da Silva, Dayan de França Costa, 2018, WWW.

Sentiment analysis in short texts from social networks

Nádia Félix Felipe da Silva, 2016 .

Using unsupervised information to improve semi-supervised tweet sentiment classification

Estevam R. Hruschka, Eduardo R. Hruschka, Luiz F. S. Coletta, 2016, Inf. Sci..

Portuguese Named Entity Recognition Using LSTM-CRF

Anderson da Silva Soares, Nádia Félix Felipe da Silva, Pedro Vitor Quinta de Castro, 2018, PROPOR.