Upload README.md

README.md

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 ---
 license: mit
+tags:
+
+- adverse-drug-events
+- twitter
+- social-media-mining-for-health
+- SMM4H
+
+widget:
+- text: "Did the patient suffer from a side effect?: weird thing about paxil: feeling fully awake and energized and feeling completely tired and half-asleep at the same time"
+  example_title: "Adverse Drug Event Extraction"
 ---
+
+## t2t-adeX-prompt
+
+t2t-adeX-prompt is a text-to-text (*t2t*) adverse drug event (**ade**) e**x**traction model trained with prompting English tweets reporting adverse drug events. It is trained as part of BOUN-TABI system for the Social Media Mining for Health (SMM4H) 2022 shared task. The system description paper has been accepted for publication in *Proceedings of the Seventh Social Media Mining for Health (#SMM4H) Workshop and Shared Task* and will be available soon. The source code has been released on GitHub at [https://github.com/gokceuludogan/boun-tabi-smm4h22](https://github.com/gokceuludogan/boun-tabi-smm4h22).
+
+The model utilizes the T5 model and its text-to-text formulation. The inputs are fed to the model with the prompt *"Did the patient suffer from a side effect?"* while the outputs uses the template *"Yes, the patient suffered from <ADE>"*. 
+
+## How to use
+
+```python
+
+```
+