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![sbb-ner-demo example](.screenshots/sbb_ner_demo.png?raw=true)
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# Preprocessing of NER ground-truth:
## compile_conll
Read CONLL 2003 ner ground truth files from directory and
write the outcome of the data parsing to some pandas DataFrame that is
stored as pickle.
### Usage
```
compile_conll --help
```
## compile_germ_eval
Read germ eval .tsv files from directory and write the
outcome of the data parsing to some pandas DataFrame that is stored as
pickle.
### Usage
```
compile_germ_eval --help
```
## compile_europeana_historic
Read europeana historic ner ground truth .bio files from directory
and write the outcome of the data parsing to some pandas
DataFrame that is stored as pickle.
### Usage
```
compile_europeana_historic --help
```
## compile_wikiner
Read wikiner files from directory and write the outcome
of the data parsing to some pandas DataFrame that is stored as pickle.
### Usage
```
compile_wikiner --help
```
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# Train BERT - NER model:
## bert-ner
Perform BERT for NER supervised training and test/cross-validation.
### Usage
```
bert-ner --help
```