Papers by Vinh Nguyen

2 papers
Joint Multilingual Knowledge Graph Completion and Alignment (2022.findings-emnlp)

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Challenge: Existing work on multilingual KG completion has focused on entity and relation alignments, but understanding of how it can aid multilingual alignments is limited.
Approach: They propose to combine two components that jointly accomplish KG completion and alignment.
Outcome: The proposed model outperforms existing competitive baselines on a public multilingual benchmark and achieves state-of-the-art results.
Solving the Right Problem is Key for Translational NLP: A Case Study in UMLS Vocabulary Insertion (2023.findings-emnlp)

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Challenge: a gap exists between research output and real-world task for automated NLP systems . a recent study shows that powerful models alone will not yield translational NLP solutions .
Approach: They propose a formulation for UMLS vocabulary insertion which mirrors the real-world task . they propose measurable qualitative improvements to editors who carry out the UVI task based on strong datasets .
Outcome: The proposed model outperforms existing models and improves the UVI task.

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