AntoineBourgois/NER_span_test

lattice-nlp/NER_DROC_ModernGBERT_1B

Model description

NER_DROC_ModernGBERT_1B is a fine-tuned version of LSX-UniWue/ModernGBERT_1B.

It is trained for Named Entity Recognition (NER) on German literary texts using the DROC dataset. The model performs span-based entity extraction, predicting entity spans directly rather than BIO token tags.

Intended use

This model is intended for:

• Named Entity Recognition in literary texts
• Digital humanities research (literary character analysis)
• Information extraction from historical novels

Performance

Performance is evaluated using exact span matching, on 8 held-out documents.

Label	Precision	Recall	F1	TP	FP	FN	Support	Support_%
PER	0.9633	0.9697	0.9665	4357	166	136	4493	100.0
MICRO	0.9633	0.9697	0.9665	-	-	-	4493	100.0
MACRO	-	-	0.9665	-	-	-	-	-