A user on r/MachineLearning is seeking advice on improving their OCR model's ability to correctly identify section titles in PDF documents. The current DeepSeek-OCR model sometimes mislabels titles as regular text, hindering the extraction of document structure. The user is considering a conditional random field (CRF) or a GNN approach to re-classify text blocks using features like indentation, alignment, and numbering patterns, but is also open to simpler heuristic solutions. AI
IMPACT Potential improvements in document structure extraction could enhance AI's ability to process and understand complex legal and regulatory texts.
RANK_REASON User seeking technical advice on a specific tooling problem.
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