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English(EN) VERDICT: Agreement Beats Pixel-Space Verification in Real-Document OCSR

VERDICT系统提升化学结构识别准确性

研究人员开发了一个名为VERDICT的新系统,提高了光学化学结构识别(OCSR)的准确性。VERDICT利用多个识别器之间的一致性,其性能优于像素空间验证方法。这种方法对于通过可靠地识别和验证化学结构来从科学文献中构建大规模化学训练数据集至关重要。 AI

影响 提高了从科学文献中提取化学结构数据的可靠性,可能加速药物发现和材料科学研究。

排序理由 该集群包含一篇详细介绍新系统及其在基准测试中性能的研究论文。

在 arXiv cs.IR (Information Retrieval) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

VERDICT系统提升化学结构识别准确性

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报道来源 [2]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Kang Xu ·

    判决:在真实文档OCSR中,Agreement优于Pixel-Space验证

    Optical Chemical Structure Recognition (OCSR) converts 2D molecular depictions in the published literature into SMILES, and is increasingly important for constructing large-scale chemical training datasets. Automation at that scale requires identifying unreliable predictions in t…

  2. arXiv cs.CV TIER_1 English(EN) · Yani Guan, Dengpan Dong, Shuang Luo, Zi Wei, Joah Han, Dan Hannah, Yumin Zhang, Qichao Hu, Kang Xu ·

    判决:在真实文档OCSR中,Agreement优于Pixel-Space验证

    arXiv:2608.22183v1 Announce Type: new Abstract: Optical Chemical Structure Recognition (OCSR) converts 2D molecular depictions in the published literature into SMILES, and is increasingly important for constructing large-scale chemical training datasets. Automation at that scale …