Thinh Hung Truong — accepted AI-conference papers

2023

Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations

Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey Kuehl, Erin Bransom +1

ACL 2023long

Evaluating multi-document summarization (MDS) quality is difficult. This is especially true in the case of MDS for biomedical literature reviews, where models must synthesize contradicting evidence reported across different documents. Prior work has shown that rather than performing the task, models…

Cited by 21 Source ↗PDF ↗code ↗Scholar ↗

2021

COVID-19 Named Entity Recognition for Vietnamese

Thinh Hung Truong, Mai Hoang Dao, Dat Quoc Nguyen

NAACL 2021long

The current COVID-19 pandemic has lead to the creation of many corpora that facilitate NLP research and downstream applications to help fight the pandemic. However, most of these corpora are exclusively for English. As the pandemic is a global problem, it is worth creating COVID-19 related datasets…

Cited by 39 Source ↗PDF ↗code ↗Scholar ↗