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@@ -35,3 +35,13 @@ predictor = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
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  predictor("Did the patient suffer from a side effect?: weird thing about paxil: feeling fully energized and feeling completely tired at the same time")
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  ```
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  predictor("Did the patient suffer from a side effect?: weird thing about paxil: feeling fully energized and feeling completely tired at the same time")
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  ```
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+ ## Citation
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+
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+ ```bibtex
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+ @inproceedings{uludogan-gokce-yirmibesoglu-zeynep-2022-boun-tabi-smm4h22,
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+ title = "{BOUN}-{TABI}@{SMM4H}'22: Text-to-{T}ext {A}dverse {D}rug {E}vent {E}xtraction with {D}ata {B}alancing and {P}rompting",
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+ author = "Uludo{\u{g}}an, G{\"{o}}k{\c{c}}e and Yirmibe{\c{s}}oglu, Zeynep",
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+ booktitle = "Proceedings of the Seventh Social Media Mining for Health ({\#}SMM4H) Workshop and Shared Task",
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+ year = "2022",
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+ }
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+ ```