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license: mit |
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language: |
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- en |
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pipeline_tag: token-classification |
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## DeBERTa-large-tweet-fid-EMD |
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This is a [DeBERTa-large](https://huggingface.co/microsoft/deberta-v3-large) model trained on the [Tweet-FID](https://arxiv.org/abs/2205.10726) dataset (*"TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks", Ruofan Hu et al, 2022* ) which is a collection of Twitter to detect incidents of foodborne illnesses. |
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The model is enriched with a multi class classification head to perform the custom task called Entity Mention Detection (EMD). |
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The objective is to determine predefined entities (*food*, *location*, *symptom*, *other*) in a given text related to a food risk |
