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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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+
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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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+ ```
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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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+
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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.