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DisorBERT

Fill-Mask
Transformers
PyTorch
English
bert
mental health
social media
Inference Endpoints
Model card Files Community
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  # DisorBERT
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  [DisorBERT](https://aclanthology.org/2023.acl-long.853/)
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  is a double-domain adaptation of a language model. First, is adapted to social media language, and then, adapted to the mental health domain. In both steps, it 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 style="float: left;" src="https://cdn-uploads.huggingface.co/production/uploads/64b946226b5ee8c388730ec1/y0b5teUiozhDapLaguUGH.png" width="150"/>
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  [DisorBERT](https://aclanthology.org/2023.acl-long.853/)
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  is a double-domain adaptation of a language model. First, is adapted to social media language, and then, adapted to the mental health domain. In both steps, it 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.