Papers by Truong Son Hy

2 papers
HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations (2024.findings-eacl)

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Challenge: Existing code summarization approaches ignore the interplay of dependencies among program elements and code hierarchy.
Approach: They propose a code summarization approach utilizing Heterogeneous Code Representations (HCRs) and HierarchyNet.
Outcome: The proposed method improves on existing models and pre-trained models.
ViDeBERTa: A powerful pre-trained language model for Vietnamese (2023.findings-eacl)

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Challenge: Existing models for Vietnamese that perform well on downstream tasks, such as Question answering, are based on Transformer.
Approach: They propose a pre-trained monolingual Vietnamese model with three versions . they fine-tune and evaluate the model on three important natural language downstream tasks, Part-of-speech tagging, Named-entity recognition, and Question answering.
Outcome: The proposed model outperforms the existing model on three important natural language downstream tasks, Part-of-speech tagging, Named-entity recognition, and Question answering.

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