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Towards Understanding Neural Machine Translation with Word Importance

Towards Understanding Neural Machine Translation with Word Importance

1 September 2019
Shilin He
Zhaopeng Tu
Xing Wang
Longyue Wang
Michael R. Lyu
Shuming Shi
    AAML
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Papers citing "Towards Understanding Neural Machine Translation with Word Importance"

4 / 4 papers shown
Title
Interpretation of Black Box NLP Models: A Survey
Interpretation of Black Box NLP Models: A Survey
Shivani Choudhary
N. Chatterjee
S. K. Saha
FAtt
28
10
0
31 Mar 2022
On Compositional Generalization of Neural Machine Translation
On Compositional Generalization of Neural Machine Translation
Yafu Li
Yongjing Yin
Yulong Chen
Yue Zhang
148
44
0
31 May 2021
On the Sub-Layer Functionalities of Transformer Decoder
On the Sub-Layer Functionalities of Transformer Decoder
Yilin Yang
Longyue Wang
Shuming Shi
Prasad Tadepalli
Stefan Lee
Zhaopeng Tu
17
27
0
06 Oct 2020
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
219
201
0
06 Jul 2017
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