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--- |
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language: |
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- grc |
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base_model: |
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- pranaydeeps/Ancient-Greek-BERT |
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tags: |
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- token-classification |
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inference: |
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parameters: |
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aggregation_strategy: first |
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widget: |
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- text: ταῦτα εἴπας ὁ Ἀλέξανδρος παρίζει Πέρσῃ ἀνδρὶ ἄνδρα Μακεδόνα ὡς γυναῖκα τῷ λόγῳ · οἳ δέ , ἐπείτε σφέων οἱ Πέρσαι ψαύειν ἐπειρῶντο , διεργάζοντο αὐτούς . |
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--- |
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# Named Entity Recognition for Ancient Greek |
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Pretrained NER tagging model for ancient Greek |
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# Data |
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We trained the models on available annotated corpora in Ancient Greek. |
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There are only two sizeable annotated datasets in Ancient Greek, which are currently un- der release: the first one by Berti 2023, |
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consists of a fully annotated text of Athenaeus’ Deipnosophists, developed in the context of the Digital Athenaeus project. |
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The second one by Foka et al. 2020, is a fully annotated text of Pausanias’ Periegesis Hellados, developed in the context of the |
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Digital Periegesis project. In addition, we used smaller corpora annotated by students and scholars on Recogito: |
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the Odyssey annotated by Kemp 2021; a mixed corpus including excerpts from the Library attributed to Apollodorus and from Strabo’s Geography, |
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annotated by Chiara Palladino; Book 1 of Xenophon’s Anabasis, created by Thomas Visser; and Demos- thenes’ Against Neaira, |
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created by Rachel Milio. |
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### Training Dataset |
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| | **Person** | **Location** | **NORP** | **MISC** | |
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|----------------|------------------|-------------------|-------------------|-------------------| |
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| Odyssey | 2.469 | 698 | 0 | 0 | |
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| Deipnosophists | 14.921 | 2.699 | 5.110 | 3.060 | |
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| Pausanias | 10.205 | 8.670 | 4.972 | 0 | |
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| Other Datasets | 3.283 | 2.040 | 1.089 | 0 | |
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| **Total** | **30.878** | **14.107** | **11.171** | **3.060** | |
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--- |
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### Validation Dataset |
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| | **Person** | **Location** | **NORP** | **MISC** | |
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|----------------|------------------|-------------------|-------------------|-------------------| |
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| Xenophon | 1.190 | 796 | 857 | 0 | |
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# Results |
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| Class | Metric | Test | Validation | |
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|---------|-----------|--------|--------| |
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| **LOC** | precision | 82.92% | 87.10% | |
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| | recall | 81.30% | 87.10% | |
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| | f1 | 82.11% | 87.10% | |
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| **MISC** | precision | 80.43% | 0 | |
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| | recall | 70.04% | 0 | |
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| | f1 | 74.87% | 0 | |
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| **NORP** | precision | 87.10% | 92.82% | |
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| | recall | 90.81% | 93.42% | |
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| | f1 | 88.92% | 93.12% | |
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| **PER** | precision | 92.61% | 95.52% | |
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| | recall | 92.94% | 95.21% | |
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| | f1 | 92.77% | 95.37% | |
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| **Overall** | precision | 88.92% | 92.63% | |
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| | recall | 88.82% | 92.79% | |
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| | f1 | 88.87% | 92.71% | |
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| | Accuracy | 97.28% | 98.42% | |
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# Usage |
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```python |
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from transformers import pipeline |
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# create pipeline for NER |
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ner = pipeline('ner', model="UGARIT/grc-ner-bert", aggregation_strategy = 'first') |
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ner("ταῦτα εἴπας ὁ Ἀλέξανδρος παρίζει Πέρσῃ ἀνδρὶ ἄνδρα Μακεδόνα ὡς γυναῖκα τῷ λόγῳ · οἳ δέ , ἐπείτε σφέων οἱ Πέρσαι ψαύειν ἐπειρῶντο , διεργάζοντο αὐτούς .") |
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``` |
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Output |
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``` |
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[{'entity_group': 'PER', |
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'score': 0.9999349, |
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'word': 'αλεξανδρος', |
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'start': 14, |
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'end': 24}, |
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{'entity_group': 'NORP', |
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'score': 0.9369563, |
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'word': 'περση', |
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'start': 33, |
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'end': 38}, |
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{'entity_group': 'NORP', |
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'score': 0.60742134, |
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'word': 'μακεδονα', |
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'start': 51, |
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'end': 59}, |
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{'entity_group': 'NORP', |
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'score': 0.9900457, |
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'word': 'περσαι', |
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'start': 105, |
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'end': 111}] |
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``` |
