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<h1>Transformer Encoder for Social Science (TESS)</h1>
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TESS is a deep neural network model intended for social science related NLP tasks. The model is developed by Haosen Ge, In Young Park, Xuancheng Qian, and Grace Zeng.
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<h1>Transformer Encoder for Social Science (TESS)</h1>
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TESS is a deep neural network model intended for social science related NLP tasks. The model is developed by Haosen Ge, In Young Park, Xuancheng Qian, and Grace Zeng.
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<h2>Training Corpus</h2>
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| TEXT | SOURCE |
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| ------------- | ------------- |
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| Preferential Trade Agreements | ToTA |
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| Congressional Bills | BillSum |
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|UNGA Resolutions | UN |
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|Firms' Annual Reports | Loughran and McDonald (2016)|
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| U.S. Court Opinions | Caselaw Access Project|
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The model is trained on 4 NVIDIA A100 GPUs for 120K steps.
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