DH-FBK at SemEval-2022 Task 4: Leveraging Annotators’ Disagreement and Multiple Data Views for Patronizing Language Detection

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Benchmark Model Rank Results
binary-condescension-detection-on-dpmMTMW (UNC+SPAN)#1F1-score: 57.89
multi-label-condescension-detection-on-dpmMTMW (AGR+COU+SPAN)#1Macro-F1: 37.35

Rank counts only results with a code link.