DA-Transformer: Distance-aware Transformer

14 Oct 2020 Chuhan Wu Fangzhao Wu Yongfeng Huang

Transformer has achieved great success in the NLP field by composing various advanced models like BERT and GPT. However, Transformer and its existing variants may not be optimal in capturing token distances because the position or distance embeddings used by these methods usually cannot keep the precise information of real distances, which may not be beneficial for modeling the orders and relations of contexts... (read more)

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