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---
license: mit
datasets:
- ljvmiranda921/tlunified-ner
language:
- tl
metrics:
- f1
library_name: spacy
pipeline_tag: token-classification
model-index:
- name: tl_gliner_small
results:
- task:
type: token-classification
name: Named Entity Recognition
dataset:
type: tlunified-ner
name: TLUnified-NER
split: test
revision: 3f7dab9d232414ec6204f8d6934b9a35f90a254f
metrics:
- type: f1
value: 0.8483
name: F1
---
# GLiNER (small) model finetuned on Tagalog data
This model was finetuned using the [GLiNER v2.5 suite](https://github.com/urchade/GLiNER) of models.
You can find and replicate the training pipeline on [Github](https://github.com/ljvmiranda921/calamanCy/tree/master/models/v0.1.0-gliner).
## Citation
Please cite the following papers when using these models:
```
@misc{zaratiana2023gliner,
title={GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer},
author={Urchade Zaratiana and Nadi Tomeh and Pierre Holat and Thierry Charnois},
year={2023},
eprint={2311.08526},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
```
@inproceedings{miranda-2023-calamancy,
title = "calaman{C}y: A {T}agalog Natural Language Processing Toolkit",
author = "Miranda, Lester James",
booktitle = "Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)",
month = dec,
year = "2023",
address = "Singapore, Singapore",
publisher = "Empirical Methods in Natural Language Processing",
url = "https://aclanthology.org/2023.nlposs-1.1",
pages = "1--7",
}
```
If you're using the NER dataset:
```
@inproceedings{miranda-2023-developing,
title = "Developing a Named Entity Recognition Dataset for {T}agalog",
author = "Miranda, Lester James",
booktitle = "Proceedings of the First Workshop in South East Asian Language Processing",
month = nov,
year = "2023",
address = "Nusa Dua, Bali, Indonesia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.sealp-1.2",
doi = "10.18653/v1/2023.sealp-1.2",
pages = "13--20",
}
``` |