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language: fa |
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license: apache-2.0 |
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# ParsBERT (v2.0) |
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A Transformer-based Model for Persian Language Understanding |
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We reconstructed the vocabulary and fine-tuned the ParsBERT v1.1 on the new Persian corpora in order to provide some functionalities for using ParsBERT in other scopes! |
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Please follow the [ParsBERT](https://github.com/hooshvare/parsbert) repo for the latest information about previous and current models. |
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## Persian Text Classification [DigiMag, Persian News] |
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The task target is labeling texts in a supervised manner in both existing datasets `DigiMag` and `Persian News`. |
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### DigiMag |
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A total of 8,515 articles scraped from [Digikala Online Magazine](https://www.digikala.com/mag/). This dataset includes seven different classes. |
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1. Video Games |
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2. Shopping Guide |
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3. Health Beauty |
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4. Science Technology |
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5. General |
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6. Art Cinema |
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7. Books Literature |
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| Label | # | |
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|:------------------:|:----:| |
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| Video Games | 1967 | |
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| Shopping Guide | 125 | |
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| Health Beauty | 1610 | |
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| Science Technology | 2772 | |
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| General | 120 | |
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| Art Cinema | 1667 | |
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| Books Literature | 254 | |
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**Download** |
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You can download the dataset from [here](https://drive.google.com/uc?id=1YgrCYY-Z0h2z0-PfWVfOGt1Tv0JDI-qz) |
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## Results |
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The following table summarizes the F1 score obtained by ParsBERT as compared to other models and architectures. |
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| Dataset | ParsBERT v2 | ParsBERT v1 | mBERT | |
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|:-----------------:|:-----------:|:-----------:|:-----:| |
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| Digikala Magazine | 93.65* | 93.59 | 90.72 | |
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## How to use :hugs: |
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| Task | Notebook | |
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|---------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |
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| Text Classification | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/hooshvare/parsbert/blob/master/notebooks/Taaghche_Sentiment_Analysis.ipynb) | |
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### BibTeX entry and citation info |
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Please cite in publications as the following: |
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```bibtex |
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@article{ParsBERT, |
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title={ParsBERT: Transformer-based Model for Persian Language Understanding}, |
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author={Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri}, |
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journal={ArXiv}, |
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year={2020}, |
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volume={abs/2005.12515} |
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} |
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``` |
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## Questions? |
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Post a Github issue on the [ParsBERT Issues](https://github.com/hooshvare/parsbert/issues) repo. |