Comments (2)
patrick22414
commented on June 24, 2024
Thank you @NISH1001 ! Unfortunately, I haven't tried this on a problem with higher number of classes, so I can't provide you with too many clues. If you are aware of some open datasets that would allow me to test it with higher number of classes, maybe I can try it and see I can find anything.
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NISH1001
commented on June 24, 2024
@patrick22414 Sorry I don't know of any open datasets.
But, I think the architecture needs improving to account for higher classes.
Or it might be possible that the dataset I tried had ambiguous data like from invoices where sender and receiver had similar fields.
What I did was treat each "sender.field_type" and "receiver.field_type" as separate labels. That might be one thing that model didn't generalize using simple LSTM. Maybe we can use CNN-based embeddings (to make use of positions of characters)?
Just a thought. Anyway, thanks for this open code. Was insightful.
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Related Issues (20)
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