The goal of the lot parsing component is to create a structured representation of lots and items from sentences classified as containing lot references.
Two main tasks are involved in this process: determining the boundaries of lots and extracting structured item information, such as item name and measurement.
We use simple rules to match patterns in sentences, primarily focusing on the identification of lot references through specific tokens and number patterns.
This structured extraction helps in organizing data related to procurement, making it beneficial for text mining and NLP applications in industry.
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