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Neural Word Decomposition Models for Abusive Language Detection

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Figure

Figure 1: Architecture for model described in 4.3. In Figure 1(a), we present an example of for obtaining a wordembedding by concatenating character embeddings with the embedding of the word itself
Figure 2: We present the approach discussed in 5.1Wordpiece tokenized model pretrained on GoogleNews and Wikipedia
Table 1: We report Weighted F1-scores for the different models on the Hatespeech, W-TOX and W-ATT datasets.
Table 2: Sample document split created by BERT BPE tokenizer, Custom BPE tokenizer
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