  In recent years, Hate Speech Detection has become one of the interesting
fields in natural language processing or computational linguistics. In this
paper, we present the description of our system to solve this problem at the
VLSP shared task 2019: Hate Speech Detection on Social Networks with the corpus
which contains 20,345 human-labeled comments/posts for training and 5,086 for
public-testing. We implement a deep learning method based on the
Bi-GRU-LSTM-CNN classifier into this task. Our result in this task is 70.576%
of F1-score, ranking the 5th of performance on public-test set.
