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