TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks
Paper • 2205.10726 • Published • 1
XLM-RoBERTa-large-tweet-fid-EMD
This is a XLM-RoBERTa-large model trained on the Tweet-FID 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.
The model is enriched with a multi class classification head to perform the custom task called Entity Mention Detection (EMD). The objective is to determine predefined entities (food, location, symptom, other) in a given text related to a food risk.
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