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@@ -18,7 +18,7 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- T5 has performed well in generating SPARQL queries from natural text, but semi automated preprocessing was necessary [Banerjee et.al.](https://dl.acm.org/doi/abs/10.1145/3477495.3531841).
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  FLAN-T5 comes with the promise of being better than T5 across all categories, so a re-evaluation is needed. Our goal is to find
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  out what kind of preprocessing is still necessary to retain good performance, as well as how to automate it fully.
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  ## Model description
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+ T5 has performed well in generating SPARQL queries from natural text, but semi automated preprocessing was necessary ([Banerjee et.al.](https://dl.acm.org/doi/abs/10.1145/3477495.3531841)).
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  FLAN-T5 comes with the promise of being better than T5 across all categories, so a re-evaluation is needed. Our goal is to find
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  out what kind of preprocessing is still necessary to retain good performance, as well as how to automate it fully.
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