readme: ---
  language: 
    - grc
  tags:
    - flair
    - token-classification
  widget:
    - ταῦτα εἴπας ὁ Ἀλέξανδρος παρίζει Πέρσῃ ἀνδρὶ ἄνδρα Μακεδόνα ὡς γυναῖκα τῷ λόγῳ · οἳ δέ , ἐπείτε σφέων οἱ Πέρσαι ψαύειν ἐπειρῶντο , διεργάζοντο αὐτούς .
  ---
  # Named Entity Recognition for Ancient Greek 
  
  Pretrained NER tagging model for ancient Greek
  
  # Scores & Tagset
  <details> 
  
  ### Training:
  |      | Precision | Recall   | F1-score | Support|
  |------|:---------:|:--------:|:--------:|:--------:|
  |PER  |   91.24%  |   94.45%  |   92.82%    |   2127|
  |MISC |   80.92%  |   83.17%  |   82.03%    |    933|
  |LOC  |   86.86%  |   78.35%  |   82.38%    |    388|
  
  ### Evaluation
  |      | Precision | Recall   | F1-score |Support|
  |------|:---------:|:--------:|:--------:|:--------:|
  | PER  |   92.00%  |  86.79%  |  89.32%  |  124|
  | MISC |   96.43%  |  87.10%  |  91.53%  |  159|
  | LOC  |   80.00%  |  84.85%  |  82.35%  |  66|
  
  </details>
  
  - F-score (micro) 0.8878
  - F-score (macro) 0.8574
  - Accuracy 0.8324
  
  # Usage
  
  ```python
  from flair.data import Sentence
  from flair.models import SequenceTagger
    
  tagger = SequenceTagger.load("UGARIT/flair_grc_bert_ner")
  sentence = Sentence('ταῦτα εἴπας ὁ Ἀλέξανδρος παρίζει Πέρσῃ ἀνδρὶ ἄνδρα Μακεδόνα ὡς γυναῖκα τῷ λόγῳ · οἳ δέ , ἐπείτε σφέων οἱ Πέρσαι ψαύειν ἐπειρῶντο , διεργάζοντο αὐτούς .')
  tagger.predict(sentence)
  for entity in sentence.get_spans('ner'):
      print(entity)
  ```
  
  
   # Citation
  *if you use this model, please consider citing [this work](https://www.researchgate.net/publication/365131651_Transformer-Based_Named_Entity_Recognition_for_Ancient_Greek):*
  ```latex
  @unpublished{yousefetal22
  author = "Yousef, Tariq and Palladino, Chiara and Jänicke, Stefan",
  title = "Transformer-Based Named Entity Recognition for Ancient Greek",
  year = {2022},
  month = {11},
  doi = "10.13140/RG.2.2.34846.61761"
  url = {https://www.researchgate.net/publication/358956953_Sequence_Labeling_Architectures_in_Diglossia_-_a_case_study_of_Arabic_and_its_dialects}
  }
  