17 citations · 26 across the 5 of their papers we have counts for
6 papers
RoBIn: A Transformer-Based Model For Risk Of Bias Inference With Machine Reading Comprehension
Abel Corrêa Dias, Viviane Pereira Moreira, João Luiz Dihl Comba
Objective: Scientific publications play a crucial role in uncovering insights, testing novel drugs, and shaping healthcare policies. Accessing the quality of publications requires…
Simple Unsupervised Similarity-Based Aspect Extraction
Danny Suarez Vargas, Lucas R. C. Pessutto, Viviane Pereira Moreira
In the context of sentiment analysis, there has been growing interest in performing a finer granularity analysis focusing on the specific aspects of the entities being evaluated. T…
BabelEnconding at SemEval-2020 Task 3: Contextual Similarity as a Combination of Multilingualism and Language Models
Lucas R. C. Pessutto, Tiago de Melo, Viviane P. Moreira +1
This paper describes the system submitted by our team (BabelEnconding) to SemEval-2020 Task 3: Predicting the Graded Effect of Context in Word Similarity. We propose an approach th…
Mono vs Multilingual Transformer-based Models: a Comparison across Several Language Tasks
Diego de Vargas Feijo, Viviane Pereira Moreira
BERT (Bidirectional Encoder Representations from Transformers) and ALBERT (A Lite BERT) are methods for pre-training language models which can later be fine-tuned for a variety of…
A Large Parallel Corpus of Full-Text Scientific Articles
Felipe Soares, Viviane Pereira Moreira, Karin Becker
The Scielo database is an important source of scientific information in Latin America, containing articles from several research domains. A striking characteristic of Scielo is tha…
Exploration of User Groups in VEXUS
Sihem Amer-Yahia, Behrooz Omidvar-Tehrani, Joao Comba +2
We introduce VEXUS, an interactive visualization framework for exploring user data to fulfill tasks such as finding a set of experts, forming discussion groups and analyzing collec…