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  # DisorBERT
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64b946226b5ee8c388730ec1/uXCiWXUGrzhh6SE7ymBy_.png)
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  <img src="https://cdn-uploads.huggingface.co/production/uploads/64b946226b5ee8c388730ec1/uXCiWXUGrzhh6SE7ymBy_.png" width="250"/>](https://cdn-uploads.huggingface.co/production/uploads/64b946226b5ee8c388730ec1/uXCiWXUGrzhh6SE7ymBy_.png)
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  [DisorBERT](https://aclanthology.org/2023.acl-long.853/) We propose a double-domain adaptation of a language model. First, we adapted the model to social media language, and then, we adapted it to the mental health domain. In both steps, we incorporated a lexical resource to guide the masking process of the language model and, therefore, to help it in paying more attention to words related to mental disorders.
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  # DisorBERT
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  <img src="https://cdn-uploads.huggingface.co/production/uploads/64b946226b5ee8c388730ec1/uXCiWXUGrzhh6SE7ymBy_.png" width="250"/>](https://cdn-uploads.huggingface.co/production/uploads/64b946226b5ee8c388730ec1/uXCiWXUGrzhh6SE7ymBy_.png)
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  [DisorBERT](https://aclanthology.org/2023.acl-long.853/) We propose a double-domain adaptation of a language model. First, we adapted the model to social media language, and then, we adapted it to the mental health domain. In both steps, we incorporated a lexical resource to guide the masking process of the language model and, therefore, to help it in paying more attention to words related to mental disorders.
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