4 citations · 13 across the 5 of their papers we have counts for
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cs.CL2020★ 4 cited
Evaluating Explanation Methods for Neural Machine Translation
Jierui Li, Lemao Liu, Huayang Li +3
Recently many efforts have been devoted to interpreting the black-box NMT models, but little progress has been made on metrics to evaluate explanation methods. Word Alignment Error…
cs.CL2020★ 2 cited
Understanding Learning Dynamics for Neural Machine Translation
Conghui Zhu, Guanlin Li, Lemao Liu +2
Despite the great success of NMT, there still remains a severe challenge: it is hard to interpret the internal dynamics during its training process. In this paper we propose to und…
cs.CL2020★ 1 cited
Detecting and Understanding Generalization Barriers for Neural Machine Translation
Guanlin Li, Lemao Liu, Conghui Zhu +2
Generalization to unseen instances is our eternal pursuit for all data-driven models. However, for realistic task like machine translation, the traditional approach measuring gener…