We propose a novel paradigm based on attention augmentation to introduce crucial cross-domain knowledge via a translation system.

Code for paper "Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks", Findings of EMNLP ...

Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks. Ruixuan Luo Yi Zhang Sishuo Chen ...

Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks · 1 code implementation • Findings ...

Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks. R Luo, Y Zhang, S Chen, X Sun.

Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks · 1 code implementation • Findings ...

Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks (Findings of EMNLP 2021)Permalink.

Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks. R Luo, Y Zhang, S Chen, X Sun.

Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks · Ruixuan LuoYi ZhangSishuo ChenXu ...

May 28, 2022 · Translation as cross-domain knowledge: At- · tention augmentation for unsupervised cross-domain · segmenting and labeling tasks. In Findings of ...