Towards Understanding Neural Machine Translation with Word Importance

Towards Understanding Neural Machine Translation with Word Importance

1 September 2019

Michael R. Lyu

Papers citing "Towards Understanding Neural Machine Translation with Word Importance"

9 / 9 papers shown

Title
State Spaces Aren't Enough: Machine Translation Needs Attention Ali Vardasbi Telmo Pires Robin M. Schmidt Stephan Peitz 27 9 0 25 Apr 2023
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection Weijia Xu Sweta Agrawal Eleftheria Briakou Marianna J. Martindale Marine Carpuat HILM 27 47 0 18 Jan 2023
Interpretation of Black Box NLP Models: A Survey Shivani Choudhary N. Chatterjee S. K. Saha FAtt 34 10 0 31 Mar 2022
On Compositional Generalization of Neural Machine Translation Yafu Li Yongjing Yin Yulong Chen Yue Zhang 156 45 0 31 May 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 43 48 0 20 Mar 2021
Neural Machine Translation: A Review of Methods, Resources, and Tools Zhixing Tan Shuo Wang Zonghan Yang Gang Chen Xuancheng Huang Maosong Sun Yang Liu 3DV AI4TS 25 105 0 31 Dec 2020
On the Sub-Layer Functionalities of Transformer Decoder Yilin Yang Longyue Wang Shuming Shi Prasad Tadepalli Stefan Lee Zhaopeng Tu 26 27 0 06 Oct 2020
How Does Selective Mechanism Improve Self-Attention Networks? Xinwei Geng Longyue Wang Xing Wang Bing Qin Ting Liu Zhaopeng Tu AAML 39 35 0 03 May 2020
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 232 201 0 06 Jul 2017