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README.md
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---
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tags:
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- aspect identification
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- aspect extraction
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- multi-label classification
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- tagalog
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- filipino
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- taglish
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inference: false
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language:
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- tl
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- en
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base_model:
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- google/gemma-3-1b-pt
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---
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## Citations
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All model details and training setups can be found in our papers. If you use our model or find it useful in your projects, please cite our work:
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```
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@article{dionela2025aspectextraction,
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title={Aspect Extraction from E-Commerce Product and Service Reviews},
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author={Valiant Lance Dionela, Fatima Kriselle Dy, Robin James Hombrebueno, Aaron Rae Nicolas, and Charibeth Cheng},
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journal={ },
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year={2025}
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}
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```
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## Data and Other Resources
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The training and evaluation datasets, as well as label definitions, can be found in the respective CSV files under the `datasets/` directory. Additional resources and related benchmark data may be available on the project website.
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