YAML Metadata
Error:
"widget[0]" must be of type object
Named Entity Recognition for Ancient Greek
Pretrained NER tagging model for ancient Greek
Scores & Tagset
Training
Precision | Recall | F1-score | Support | |
---|---|---|---|---|
PER | 93.39% | 96.33% | 94.84% | 2127 |
MISC | 84.69% | 92.50% | 88.42% | 933 |
LOC | 89.55% | 77.32% | 82.99% | 388 |
Evaluation
Precision | Recall | F1-score | Support | |
---|---|---|---|---|
PER | 90.48% | 91.94% | 91.20% | 124 |
MISC | 89.29% | 94.34% | 91.74% | 159 |
LOC | 82.69% | 65.15% | 72.88% | 66 |
Usage
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:
@unpublished{yousefetal22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/365131651_Transformer-Based_Named_Entity_Recognition_for_Ancient_Greek}
}
- Downloads last month
- 6
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.