SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts
Not on the map. Why?
Abstract (arXiv)
Question answering (QA) systems have gained explosive attention in recent years. However, QA tasks in Vietnamese do not have many datasets. Significantly, there is mostly no dataset in the medical domain. Therefore, we built a Vietnamese Healthcare Question Answering dataset (ViHealthQA), including 10,015 question-answer passage pairs for this task, in which questions from health-interested users were asked on prestigious health websites and answers from highly qualified experts. This paper proposes a two-stage QA system based on Sentence-BERT (SBERT) using multiple negatives ranking (MNR) loss combined with BM25. Then, we conduct diverse experiments with many bag-of-words models to assess our system's performance. With the obtained results, this system achieves better performance than traditional methods.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 14 of its 26 references that are in the map. First posted on arXiv 20 Jun 2022.
Builds on
14 of 26 references.
References · 14
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
- 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
- 2019PubMedQA: A Dataset for Biomedical Research Question Answeringcited by 1,271
- 2019Latent Retrieval for Weakly Supervised Open Domain Question Answeringcited by 691
- 2019How multilingual is Multilingual BERT?cited by 642
- 2016How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generationcited by 356
- 2017Efficient Natural Language Response Suggestion for Smart Replycited by 228
- 2020PhoBERT: Pre-trained language models for Vietnamesecited by 148
- 2018VnCoreNLP: A Vietnamese Natural Language Processing Toolkitcited by 51
- 2020Learning-to-Rank with BERT in TF-Rankingcited by 36
- 2018CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehensioncited by 34
Built on by
Citing papers per year: 2023: 3; 2024: 0; 2025: 2.
5 papers.
- 2023ViMMRC 2.0 -- Enhancing Machine Reading Comprehension on Vietnamese Literature Textcited by 5
- 2023Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Wordscited by 5
- 2025MedPT: A Massive Medical Question Answering Dataset for Brazilian-Portuguese Speakerscited by 2
- 2023XAIQA: Explainer-Based Data Augmentation for Extractive Question Answeringcited by 0
- 2025A Benchmark Dataset and Evaluation Framework for Vietnamese Large Language Models in Customer Supportcited by 0
- 2025MedPT: A Massive Medical Question Answering Dataset for Brazilian-Portuguese Speakers14 Nov 2025
- 2025A Benchmark Dataset and Evaluation Framework for Vietnamese Large Language Models in Customer Support30 Jul 2025
- 2023XAIQA: Explainer-Based Data Augmentation for Extractive Question Answering6 Dec 2023
- 2023Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words24 Oct 2023
- 2023ViMMRC 2.0 -- Enhancing Machine Reading Comprehension on Vietnamese Literature Text31 Mar 2023