BERT-TRIPLE: Using BERT for Extracting Triples from Vietnamese Sentences

What is it about?

Extracting the triples from a sentence in the Vietnamese corpus is an interesting problem in building knowledge graphs and generating questions for the question answering systems

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Why is it important?

we proposed a model named BERT-TRIPLE that is based on the BERT model to extract triples from the Vietnamese corpus. In particular, we performed two phases that were annotation and training. In the annotation phase, our method annotates word tokens in sentences. In the training phase, we fine-tuned the BERT model to train the labeled dataset for predicting triples in Vietnamese sentences. After collecting the triples of Vietnamese text, we generate questions for Question Answering systems.