LISAC FSDM USMBA at SemEval-2021 Task 5: Tackling Toxic Spans Detection Challenge with Supervised SpanBERT-based Model and Unsupervised LIME-based Model
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[1] Lucy Vasserman,et al. Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification , 2019, WWW.
[2] Thomas Wolf,et al. DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter , 2019, ArXiv.
[3] Lucas Dixon,et al. Ex Machina: Personal Attacks Seen at Scale , 2016, WWW.
[4] Abdessamad Benlahbib,et al. LISAC FSDM-USMBA Team at SemEval-2020 Task 12: Overcoming AraBERT’s pretrain-finetune discrepancy for Arabic offensive language identification , 2020, SEMEVAL.
[5] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[6] Preslav Nakov,et al. Fine-Grained Analysis of Propaganda in News Article , 2019, EMNLP.
[7] Omer Levy,et al. SpanBERT: Improving Pre-training by Representing and Predicting Spans , 2019, TACL.
[8] John Pavlopoulos,et al. Deeper Attention to Abusive User Content Moderation , 2017, EMNLP.
[9] John Pavlopoulos,et al. ConvAI at SemEval-2019 Task 6: Offensive Language Identification and Categorization with Perspective and BERT , 2019, *SEMEVAL.
[10] John Pavlopoulos,et al. Deep Learning for User Comment Moderation , 2017, ALW@ACL.
[11] Preslav Nakov,et al. SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval) , 2019, *SEMEVAL.
[12] Michael Wiegand,et al. A Survey on Hate Speech Detection using Natural Language Processing , 2017, SocialNLP@EACL.
[13] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[14] John Pavlopoulos,et al. SemEval-2021 Task 5: Toxic Spans Detection , 2021, SEMEVAL.
[15] Carlos Guestrin,et al. "Why Should I Trust You?": Explaining the Predictions of Any Classifier , 2016, ArXiv.
[16] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..