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To build a really great parser we need to set up a feedback loop for ourselves.
The loop will include
Testing the performance of the parser on addresses
Identifying the failures
Altering the parser by
Changing the training corpus by
changing the amount of training data
changing the variety of training data
changing the representativeness of the tranining data
changing the features we use for the model
changing the model form
After making adjustments to the parser (3), we need to be able to evaluate (1) the performance, and identify current difficult cases (2) with one command.
In the next round, adjustments to the parser (3), need to be based upon our current failures.
To build a really great parser we need to set up a feedback loop for ourselves.
The loop will include
After making adjustments to the parser (3), we need to be able to evaluate (1) the performance, and identify current difficult cases (2) with one command.
In the next round, adjustments to the parser (3), need to be based upon our current failures.
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