metadata
language:
- el
license: cc-by-nc-2.0
tags:
- flair
- token-classification
- sequence-tagger-model
base_model:
- nlpaueb/bert-base-greek-uncased-v1
Greek Named Entity Model finetuned on the elNER Dataset
This Greek NER model was fine-tuned by researchers at the Institute for Language and Speech Processing/Athena RC. The model was finetuned on the elNER-18 dataset using the nlpaueb/bert-base-greek-uncased-v1 as backbone LM.
Dataset
The elNER-18 dataset consists of 21K sentences, 623K tokens and 94K annotated named entities for 18 NE classes.
The following 18 named entities are annotated in the train partition:
| Class | # |
|---|---|
| ORG | 10944 |
| PERSON | 8774 |
| CARDINAL | 7343 |
| GPE | 6781 |
| DATE | 6338 |
| ORDINAL | 1438 |
| PERCENT | 1437 |
| LOC | 1404 |
| NORP | 1396 |
| MONEY | 1012 |
| TIME | 1011 |
| EVENT | 962 |
| PRODUCT | 668 |
| WORK_OF_ART | 608 |
| FAC | 567 |
| QUANTITY | 565 |
| LAW | 235 |
| LANGUAGE | 55 |
Fine-Tuning
Flair version 0.14 was used for fine-tuning.
The model was trained with the following hyper-parameters:
- Batch Size: [
8] - Learning Rate: [
5e-05]
Results
- F-score (micro) 0.9173
- F-score (macro) 0.8778
- Accuracy 0.8651
| Class | precision | recall | f1-score | support |
|---|---|---|---|---|
| ORG | 0.8931 | 0.8847 | 0.8889 | 1388 |
| PERSON | 0.9516 | 0.9724 | 0.9619 | 1051 |
| CARDINAL | 0.9330 | 0.9627 | 0.9476 | 911 |
| DATE | 0.9403 | 0.9403 | 0.9403 | 838 |
| GPE | 0.9282 | 0.9552 | 0.9415 | 826 |
| PERCENT | 0.9807 | 0.9854 | 0.9831 | 206 |
| LOC | 0.8011 | 0.7921 | 0.7966 | 178 |
| ORDINAL | 0.9477 | 0.9477 | 0.9477 | 172 |
| NORP | 0.8690 | 0.8936 | 0.8811 | 141 |
| TIME | 0.8951 | 0.9343 | 0.9143 | 137 |
| EVENT | 0.6395 | 0.7231 | 0.6787 | 130 |
| MONEY | 0.9818 | 0.9730 | 0.9774 | 111 |
| PRODUCT | 0.7882 | 0.8072 | 0.7976 | 83 |
| WORK_OF_ART | 0.8313 | 0.8214 | 0.8263 | 84 |
| FAC | 0.6933 | 0.6753 | 0.6842 | 77 |
| QUANTITY | 0.8636 | 0.8769 | 0.8702 | 65 |
| LAW | 0.8214 | 0.8214 | 0.8214 | 28 |
| LANGUAGE | 1.0000 | 0.8889 | 0.9412 | 9 |
| micro avg | 0.9112 | 0.9235 | 0.9173 | 6435 |
| macro avg | 0.8755 | 0.8809 | 0.8778 | 6435 |
| weighted avg | 0.9116 | 0.9235 | 0.9174 | 6435 |
Files
The Flair training log has also been uploaded to the model hub.