stefan-it's picture
readme: enable awesome new inference widget
99c1e71
metadata
tags:
  - flair
  - token-classification
  - sequence-tagger-model
language: de
widget:
  - text: April Martin Ansclm, K. Gefangen-Auffehers Georg Sausgruber.
license: mit

Towards Robust Named Entity Recognition for Historic German

Based on our paper we release a new model trained on the ONB dataset.

Note: We use BPEmbeddings instead of the combination of Wikipedia, Common Crawl and character embeddings (as used in the paper), so save space and training/inferencing time.

Results

Dataset \ Run Run 1 Run 2 Run 3 Avg.
Development 86.69 86.13 87.18 86.67
Test 85.27 86.05 85.75† 85.69

Paper reported an averaged F1-score of 85.31.

† denotes that this model is selected for upload.