Annotation Consistency and Quality

Great question!
The PLOD dataset was created by automatically extracting data from PLOS journals, and I found it has about 90% accuracy after I manually validated a small subset.
Quite an impressive result!

So, what strategies could improve overall annotation consistency?

Hello @cat-1159,
Let's try the following, which may help improve consistency somewhat (maybe):

• Introduce an active learning loop where uncertain cases are flagged for human review.
• Apply cross-validation among multiple annotators to measure agreement scores and identify systematic errors.
• Use ensemble annotation methods (combining rule-based and ML predictions) to detect conflicting labels.