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Binary Condescension Detection

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BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection

2022-08-02 · SemEval (NAACL) 2022 7 · Yong Deng, Chenxiao Dou, Liangyu Chen, Deqiang Miao 외

PCL detection task is aimed at identifying and categorizing language that is patronizing or condescending towards vulnerable communities in the general media.Compared to other NLP tasks of paragraph classification, the n…

Binary Condescension DetectionClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATION+1

SemEval-2022 Task 4: Patronizing and Condescending Language Detection

2022-07-01 · SemEval (NAACL) 2022 7 · Carla Perez-Almendros, Luis Espinosa-Anke, Steven Schockaert

This paper presents an overview of Task 4 at SemEval-2022, which was focused on detecting Patronizing and Condescending Language (PCL) towards vulnerable communities. Two sub-tasks were considered: a binary classificatio…

Binary ClassificationBinary Condescension DetectionClassificationMulti-Label Classification+5

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

2022-07-01 · SemEval (NAACL) 2022 7 · Alan Ramponi, Elisa Leonardelli

The subtle and typically unconscious use of patronizing and condescending language (PCL) in large-audience media outlets undesirably feeds stereotypes and strengthens power-knowledge relationships, perpetuating discrimin…

Binary Condescension DetectionMulti-label Condescension Detection

AliEdalat at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Fine-tuned Language Models, BERT+BiGRU, and Ensemble Models

2022-07-01 · SemEval (NAACL) 2022 7 · Ali Edalat, Yadollah Yaghoobzadeh, Behnam Bahrak

This paper presents the AliEdalat team’s methodology and results in SemEval-2022 Task 4: Patronizing and Condescending Language (PCL) Detection. This task aims to detect the presence of PCL and PCL categories in text in …

Binary Condescension DetectionMulti-label Condescension Detection

PALI-NLP at SemEval-2022 Task 4: Discriminative Fine-tuning of Transformers for Patronizing and Condescending Language Detection

2022-03-09 · SemEval (NAACL) 2022 7 · Dou Hu, Mengyuan Zhou, Xiyang Du, Mengfei Yuan 외

Patronizing and condescending language (PCL) has a large harmful impact and is difficult to detect, both for human judges and existing NLP systems. At SemEval-2022 Task 4, we propose a novel Transformer-based model and i…

Binary Condescension DetectionMulti-label Condescension DetectionSemEval-2022 Task 4-1 (Binary PCL Detection)SemEval-2022 Task 4-2 (Multi-label PCL Detection)