mlsanityData to 7 Oct 2026

SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts

arXiv 2206.09600 ↗First posted 20 Jun 2022cs.CLcited by 5

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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

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  2. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  3. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
  4. 2019PubMedQA: A Dataset for Biomedical Research Question Answeringcited by 1,271
  5. 2019Latent Retrieval for Weakly Supervised Open Domain Question Answeringcited by 691
  6. 2019How multilingual is Multilingual BERT?cited by 642
  7. 2016How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generationcited by 356
  8. 2017Efficient Natural Language Response Suggestion for Smart Replycited by 228
  9. 2020PhoBERT: Pre-trained language models for Vietnamesecited by 148
  10. 2018VnCoreNLP: A Vietnamese Natural Language Processing Toolkitcited by 51
  11. 2020Learning-to-Rank with BERT in TF-Rankingcited by 36
  12. 2018CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehensioncited by 34
2 more
  1. 2018Medical Exam Question Answering with Large-scale Reading Comprehensioncited by 29
  2. 2020New Vietnamese Corpus for Machine Reading Comprehension of Health News Articlescited by 23

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Cited by year

Citing papers per year: 2023: 3; 2024: 0; 2025: 2.

5 papers.