README.md

---
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",
}
```