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A component to do fuzzy matching
See original GitHub issueWhat problem are you trying to solve?
I want synonyms to work even if there are typos in it.
For example, given:
nlu:
- synonym: credit examples: |
- credit card account
- credit account
If DIETClassifier extracts credit acount, I want it to be normalized to credit.
The current workaround is to add all typos to the examples:
nlu:
- synonym: credit examples: |
- credit card account
- credit account
- credit acount
What’s your suggested solution?
A component that can match a value to the examples in a synonym based on stemming, misspellings, and partial matches and returns a score.
Examples (if relevant)
No response
Is anything blocking this from being implemented? (if relevant)
No response
Definition of Done
A component that does fuzzy matching
Issue Analytics
- State:
- Created 2 years ago
- Reactions:1
- Comments:5 (4 by maintainers)
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Exalate commented:
TyDunn commented:
That make sense. Thanks for letting me know! We have added this to the NLU optimisations product area
Exalate commented:
hsm207 commented:
@TyDunn the work @koaning did was taipo. It does data augmentation but does not handle normalization.