| tags: | |
| - flair | |
| - token-classification | |
| - sequence-tagger-model | |
| language: de | |
| inference: false | |
| 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 LFT 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 | 76.32 | 76.13 | **76.36** | 76.27 | |
| | Test | 77.07 | 77.35 | 77.20 | 77.21 | |
| Paper reported an averaged F1-score of 77.51. | |
| † denotes that this model is selected for upload. | |