字形刻痕
发表于 2025-3-25 07:07:33
Salma Alghamdi,Lama Al Khuzayem,Ohoud Al-Zamzamisis with varied levels of noise confirms the promising results of character recognition accuracy of the proposed OCR model which out-performs the state-of-the-art OCR systems for Indian scripts. The proposed model achieves 76.70% with test documents consists of 50% noise and 99.98% with test documen
NIL
发表于 2025-3-25 08:00:16
Razan Al-Hamed,Rawan Al-Hamed,Aya Karam,Fatima Al-Qattan,Fatmah Al-Nnaimy,Soraia Oueidand reach a performance similar to the base approach on flat entities. Even though all 3 approaches perform well in terms of F1-scores, joint labelling is most suitable for hierarchically structured data. Finally, our experiments reveal the superiority of the IO tagging format on such data.
CAB
发表于 2025-3-25 12:39:27
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Blazon
发表于 2025-3-25 16:31:56
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Cursory
发表于 2025-3-25 20:15:36
Vasanth Iyer,Igor Ternovskiycy improves significantly, inference time is halved compared to HTML-based models, and the predicted table structures are always syntactically correct. This in turn eliminates most post-processing needs. Popular table structure data-sets will be published in OTSL format to the community.
Mortar
发表于 2025-3-26 00:35:25
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anaphylaxis
发表于 2025-3-26 05:50:20
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neutralize
发表于 2025-3-26 11:36:12
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JOG
发表于 2025-3-26 14:59:32
Cencheng Shendictive at word image level compared to classical static embedding methods. Furthermore, our recognition-free approach with pre-trained semantic information outperforms recognition-free as well as recognition-based approaches from the literature on several Named Entity Recognition benchmark datasets
Glutinous
发表于 2025-3-26 18:22:53
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