Xinyuan Lu

ORCID: 0000-0002-7084-3869
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About
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Research Areas
  • Data Quality and Management
  • Traditional Chinese Medicine Analysis
  • Semantic Web and Ontologies
  • Pharmacological Effects of Natural Compounds
  • Traditional Chinese Medicine Studies
  • Biomedical Text Mining and Ontologies

Shanghai University of Traditional Chinese Medicine
2022

Scientific question answering (SQA) is an important task aimed at questions based on papers. However, current SQA datasets have limited reasoning types and neglect the relevance between tables text, creating a significant gap with real scenarios. To address these challenges, we propose QA benchmark for scientific text diverse (SciTaT). cover more types, summarize various from real-world questions. involve both require to incorporate as much possible. Based SciTaT, strong baseline (CaR),...

10.48550/arxiv.2412.11757 preprint EN arXiv (Cornell University) 2024-12-16

Traditional Chinese medicine splenogastric diseases (TCMSDs) are equivalent to digestive system in modern medicine. The forms of clinical evidence TCMSDs include trials, such as randomized controlled trials (RCTs) and systematic reviews (SRs). SRs mainly rely on manual operations have the shortcomings time consumption low efficiency; therefore, they cannot meet needs rapid decision-making. It is urgent establish a new smart form database support progress SRs.

10.1155/2022/6933523 article EN Evidence-based Complementary and Alternative Medicine 2022-07-13
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