The proposed methodology focuses on extracting structured lot and item information from tender documents, utilizing Vamstar Universal Documents (VUD) to standardize content across formats.
Our approach combines data extraction, lot zoning, item detection, and rule-based NER to create structured representations of lots, utilizing domain knowledge for multilingual capabilities.
Through effective passage retrieval and text classification techniques, we are able to identify relevant content and discern nuances in lot and item attributes from complex documents.
The integration of structured information from tender XMLs enhances supplier-centric contract award records, making procurement processes more efficient and data-driven.
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