Adapting Sequence to Sequence models for Text Normalization in Social Media
Table 10: Comparison of our hybrid Seq2Seq model with related work on Text Normalization. *In contrast with the rest of the presented related work, Monoise leverages additional textual resources.
['[BOLD] Model', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1']
We see that all previous Deep Learning approaches are close to 82% F1 score. Due to the nature of our hybrid model, we were able to achieve the best performance so far among neural models in related work. We compare the incorrect normalizations that our Seq2Seq model and MoNoise - the best performing method - produce.