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Thank you very much for the work you've done on this.
While the results of this are currently fairly good I've noticed names are a big struggle. I even ran your resume as a sample through the system and it returned "www.omkarpathak.in" for that field.
Do you think adding negative patterns for it to check against is the smartest short term solution for this problem? Otherwise do you think more training is required on the part of the NLP model regarding names?
If you need access to more data I have access to a large amount of CVs which I'd be happy to share.
Thanks again for your continued work on this project.
The text was updated successfully, but these errors were encountered:
@BenSturgeon yes. We need a large dataset of resumes to train model to produce more robust results. If you can share the CVs it would be really helpful 😄
Thank you very much for the work you've done on this.
While the results of this are currently fairly good I've noticed names are a big struggle. I even ran your resume as a sample through the system and it returned "www.omkarpathak.in" for that field.
Do you think adding negative patterns for it to check against is the smartest short term solution for this problem? Otherwise do you think more training is required on the part of the NLP model regarding names?
If you need access to more data I have access to a large amount of CVs which I'd be happy to share.
Thanks again for your continued work on this project.
The text was updated successfully, but these errors were encountered: