Before revision:  To alleviate these challenges, we propose a character-based subword transformer module (char2subword) that learns the subword embedding table in pre-trained models like BERT  . Our char2subword module builds representations from characters out of the subword vocabulary, and it can be used as a drop-in replacement of the subword embedding table.
After revision:  To alleviate these challenges, we propose a character-based subword module (char2subword) that learns the subword embedding table in pre-trained models like BERT . Our char2subword module builds representations from characters out of the subword vocabulary, and it can be used as a drop-in replacement of the subword embedding table.