Papers by Oanh Tran
Using Convolution Neural Network with BERT for Stance Detection in Vietnamese (2022.lrec-1)
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| Challenge: | Stance detection is a task of automatically eliciting stance information towards a specific claim made by a primary author. |
| Approach: | They propose an architecture using transformers to detect stances in Vietnamese claims . they exploit BERT to extract contextual word embeddings instead of traditional word2vec models . |
| Outcome: | The proposed model outperforms the previous methods on a public dataset. |
Introducing a Large-Scale Dataset for Vietnamese POS Tagging on Conversational Texts (2020.lrec-1)
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| Challenge: | POS taggers are trained on informal texts which contain many informal inputs such as acronyms, abbreviations, out-of-vocabulary words, etc. |
| Approach: | They propose a large-scale human-labeled dataset for the Vietnamese POS tagging task on conversational texts and develop an annotation guideline to manually annotate 16.310K sentences using this guideline. |
| Outcome: | The proposed tagging scheme achieved 93.36% accuracy score and higher than the model with handcrafted features and fine-tuning BERT. |