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Description
User story
- As a data engineer
- I want/need to develop and train an NER model using our collected data
- So that the NER model can automatically recognize and tag entities in training data
Acceptance criteria
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Utilise the results of research on NER solutions
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Train the NER model on the annotated dataset
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Achieve a precision and recall rate of at least 70% on a validation set
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Document the observed problems and bugs for further development
Definition of done (DoD)
- Added only after week 5
- The same for all features
- Here goes the project specific part
DoD general criteria
- Feature has been fully implemented
- Feature has been merged into the mainline
- All acceptance criteria were met
- Product owner approved features
- All tests are passing
- Developers agreed to release
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Type
Projects
Status
Product Backlog