Allennlp Predictor class that mimics gec_model #6
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…y gec_model, get_token_action removed and placed in model.
There's a bug in here somewhere though because the output isn't exactly the same. I suspect there's an off by one error happening when the indices for edit operations are generated.
…l words and corrected words to the output.
… errors are identified. Fixing offsets in light of addition of START_TOKEN to front.
Everything works now except that the text is getting lowercased somewhere.
…offsets when creating the target (corrected sentence). Copying get_token_action method almost verbatim instead of using something more clever.
…. This is identical to the output for gec_model!
Frost45
reviewed
Sep 28, 2022
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Sorry! I forgot to add Nitin and Damien to the list of reviewers somehow. |
desilinguist
approved these changes
Sep 29, 2022
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I am not that familiar with this codebase so I am going to approve based on what I see and let @Frost45 and @damien2012eng do a more careful review.
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Great work, @ksteimel ! |
damien2012eng
approved these changes
Oct 5, 2022
Co-authored-by: Sanjna Kashyap <[email protected]>
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Sorry for the large PR. These changes introduce a gec_predictor class that is able to mimic the behavior of gec_model but in a way that follows the allennlp api.
This does handle multi-iteration prediction. However, gec_model had an option for ensemble prediction and that is currently not handled here.
I have also created a model archive that can be used with this new predictor. You can see the config file for this in test_fixtures/roberta_model. The weights file is downloaded the appropriate location and shared between the predictor and gec_model.. I can tar the folder up and then add it to a public s3 bucket after this PR is approved.