Adriana Pagano

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 7

Top Topics

Dependency Trees

Sentiment Analysis

Diabetes Mellitus

Intelligent Robots

Top Venues

Publications

Thiago Castro Ferreira, João Victor de Pinho Costa, Isabela Rigotto, Vitoria Portella, Gabriel Frota, Ana Luisa A. R. Guimarães, Adalberto Penna, Isabela Lee, Tayane A. Soares, Sophia Rolim, Rossana Cunha, Celso França, Ariel Santos, Rivaney F. Oliveira, Abisague Langbehn, Daniel Hasan Dalip, Marcos André Gonçalves, Rodrigo Bastos Fóscolo, Adriana Pagano
Evaluating Recognizing Question Entailment Methods for a Portuguese Community Question-Answering System about Diabetes Mellitus. RANLP (2021)
Lucas Pavanelli, Elisa Terumi Rubel Schneider, Yohan Bonescki Gumiel, Thiago Castro Ferreira, Lucas Ferro Antunes de Oliveira, João Vitor Andrioli de Souza, Giovanni Pazini Meneghel Paiva, Lucas Emanuel Silva e Oliveira, Claudia Maria Cabral Moro, Emerson Cabrera Paraiso, Adriana Pagano
PUCRJ-PUCPR-UFMG at eHealth-KD Challenge 2021: A Multilingual BERT-based System for Joint Entity Recognition and Relation Extraction. IberLEF@SEPLN (2021)
Thiago Castro Ferreira, Helena Vaz, Brian Davis, Adriana Pagano
Enriching the E2E dataset. INLG (2021)
Rossana Cunha, Thiago Castro Ferreira, Adriana Pagano, Fábio Alves
Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities. COLING (2020)
Felipe Almeida Costa, Thiago Castro Ferreira, Adriana Pagano, Wagner Meira Jr.
Building The First English-Brazilian Portuguese Corpus for Automatic Post-Editing. COLING (2020)
André Luiz Rosa Teixeira, João Campos, Rossana Cunha, Thiago Castro Ferreira, Adriana Pagano, Fábio Gagliardi Cozman
DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation. INLG (2020)
Júlia Rodrigues, Adriana Pagano, Emerson Cabrera Paraiso
Estudo exploratório de categorias gramaticais com potencial de indicadores para a Análise de Sentimentos (An Exploratory study of grammatical categories as potential indicators for Sentiment Analysis)[In Portuguese]. STIL (2017)