How can you improve a hybrid named entity recognition (NER) system that uses dictionary matching and a CRF model?

hard📝 Application Q9 of 15

NLP - Sentiment Analysis Advanced

AAdd a voting mechanism to combine dictionary and CRF outputs

BRemove the dictionary and rely only on CRF

CUse dictionary matching only for training data

DIgnore CRF outputs when dictionary matches exist

Step-by-Step Solution

Solution:

Step 1: Understand hybrid NER components
Dictionary matching is precise but limited; CRF model generalizes better.
Step 2: Combine outputs effectively
A voting mechanism balances both outputs, improving overall recognition accuracy.
Final Answer:
Add a voting mechanism to combine dictionary and CRF outputs -> Option A
Quick Check:
Voting combines strengths of dictionary and CRF [OK]

Quick Trick: Use voting to merge dictionary and model results [OK]

Common Mistakes:

MISTAKES

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