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## EconBERTa: Towards Robust Extraction of Named Entities in Economics
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[EconBERTa](https://aclanthology.org/2023.findings-emnlp.774)
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EconBERTa is a DeBERTa-based language model adapted to the domain of economics. It has been pretrained following the ELECTRA approach, using a large corpus consisting of 9,4B tokens from 1,5M economics papers (around 800,000 full articles and 700,000 abstracts).
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### Citation
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## EconBERTa: Towards Robust Extraction of Named Entities in Economics
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[EconBERTa](https://aclanthology.org/2023.findings-emnlp.774)
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EconBERTa is a DeBERTa-based language model adapted to the domain of economics. It has been pretrained following the [ELECTRA](https://arxiv.org/abs/2003.10555) approach, using a large corpus consisting of 9,4B tokens from 1,5M economics papers (around 800,000 full articles and 700,000 abstracts).
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### Citation
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