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        <title>Team LEGO at SemEval-2022 Task 4: Machine Learning Methods for PCL Detection</title>
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        <namePart type="given">Abhishek</namePart>
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            <title>Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)</title>
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            <namePart type="given">Guy</namePart>
            <namePart type="family">Emerson</namePart>
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            <namePart type="given">Natalie</namePart>
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            <namePart type="given">Siddharth</namePart>
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    <abstract>In this paper, we present our submission to the SemEval 2022 - Task 4 on Patronizing and Condescending Language (PCL) detection. Weapproach this problem as a traditional text classification problem with machine learning (ML)methods. We experiment and investigate theuse of various ML algorithms for detecting PCL in news articles. Our best methodology achieves an F1- Score of 0.39 for subtask1 witha rank of 63 out of 80, and F1-score of 0.082for subtask2 with a rank of 41 out of 48 on the blind dataset provided in the shared task.</abstract>
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            <start>369</start>
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%0 Conference Proceedings
%T Team LEGO at SemEval-2022 Task 4: Machine Learning Methods for PCL Detection
%A Singh, Abhishek
%Y Emerson, Guy
%Y Schluter, Natalie
%Y Stanovsky, Gabriel
%Y Kumar, Ritesh
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y Singh, Siddharth
%Y Ratan, Shyam
%S Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, United States
%F singh-2022-team
%X In this paper, we present our submission to the SemEval 2022 - Task 4 on Patronizing and Condescending Language (PCL) detection. Weapproach this problem as a traditional text classification problem with machine learning (ML)methods. We experiment and investigate theuse of various ML algorithms for detecting PCL in news articles. Our best methodology achieves an F1- Score of 0.39 for subtask1 witha rank of 63 out of 80, and F1-score of 0.082for subtask2 with a rank of 41 out of 48 on the blind dataset provided in the shared task.
%R 10.18653/v1/2022.semeval-1.48
%U https://aclanthology.org/2022.semeval-1.48
%U https://doi.org/10.18653/v1/2022.semeval-1.48
%P 369-373

Markdown (Informal)

[Team LEGO at SemEval-2022 Task 4: Machine Learning Methods for PCL Detection](https://aclanthology.org/2022.semeval-1.48) (Singh, SemEval 2022)

• Team LEGO at SemEval-2022 Task 4: Machine Learning Methods for PCL Detection (Singh, SemEval 2022)

ACL

• Abhishek Singh. 2022. Team LEGO at SemEval-2022 Task 4: Machine Learning Methods for PCL Detection. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 369–373, Seattle, United States. Association for Computational Linguistics.