Abstract
In this paper, we present an empirical study of using pre-trained BERT models for relation extraction task at VLSP 2020 Evaluation Campaign. We applied two state-of-the-art BERT-based models: R-BERT and BERT model with entity starts. For each model, we compared two pre-trained BERT models: FPTAI/vibert and NlpHUST/vibert4news. We found that NlpHUST/vibert4news model significantly outperforms FPTAI/vibert for Vietnamese relation extraction task. Finally, we proposed a simple ensemble model which combines R-BERT and BERT with entity starts. Our proposed ensemble model slightly improved against two single models on the development data provided by the task organizers.
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URL
https://arxiv.org/abs/2012.10275