13 citations · 22 across the 2 of their papers we have counts for
3 papers
cs.CL2019★ 13 cited
Hierarchical Contextualized Representation for Named Entity Recognition
Ying Luo, Fengshun Xiao, Hai Zhao
Named entity recognition (NER) models are typically based on the architecture of Bi-directional LSTM (BiLSTM). The constraints of sequential nature and the modeling of single input…
cs.CL2019
Controllable Dual Skew Divergence Loss for Neural Machine Translation
Zuchao Li, Hai Zhao, Yingting Wu +2
In sequence prediction tasks like neural machine translation, training with cross-entropy loss often leads to models that overgeneralize and plunge into local optima. In this paper…
cs.CL2019★ 9 cited
Lattice-Based Transformer Encoder for Neural Machine Translation
Fengshun Xiao, Jiangtong Li, Hai Zhao +2
Neural machine translation (NMT) takes deterministic sequences for source representations. However, either word-level or subword-level segmentations have multiple choices to split…