Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models

Cite

Text

Jin et al. "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models." International Conference on Learning Representations, 2020.

Markdown

[Jin et al. "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models." International Conference on Learning Representations, 2020.](https://mlanthology.org/iclr/2020/jin2020iclr-hierarchical/)

BibTeX

@inproceedings{jin2020iclr-hierarchical,
  title     = {{Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models}},
  author    = {Jin, Xisen and Wei, Zhongyu and Du, Junyi and Xue, Xiangyang and Ren, Xiang},
  booktitle = {International Conference on Learning Representations},
  year      = {2020},
  url       = {https://mlanthology.org/iclr/2020/jin2020iclr-hierarchical/}
}