Neural Word Decomposition Models for Abusive Language Detection
Table 3: Macro F1 average on the W-TOX and W-ATT datasets.
['Model', 'W-ATT', 'W-TOX']
State-of-the-art performance on W-TOX and W-ATT with BERT finetuning: Mishra et al. From their work it is unclear if the model is tuned on validation, and same data was used along with test to report numbers. Hence, we only use their number as reference. We have also observed better numbers with their approach. We have achieved state of the art macro F1 score on W-ATT and W-TOX datasets with BERT finetuning. We have also added performance of BERT Wordpiece tokenized text with word based models for comparison, with their numbers running really close to those of BERT.