| 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](https://www.aclweb.org/anthology/W19-4312/) | |
| 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. | |