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20172020
most citedIncorporating Sememes into Chinese Definition Modeling

1 citations · 2 across the 2 of their papers we have counts for

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cs.CL20201 cited

Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model

Juntao Li, Ruidan He, Hai Ye +3

Recent research indicates that pretraining cross-lingual language models on large-scale unlabeled texts yields significant performance improvements over various cross-lingual and l…

cs.CL20191 cited

Incorporating Sememes into Chinese Definition Modeling

Liner Yang, Cunliang Kong, Yun Chen +3

Chinese definition modeling is a challenging task that generates a dictionary definition in Chinese for a given Chinese word. To accomplish this task, we construct the Chinese Defi…

cs.CL2018

Meta-Learning for Low-Resource Neural Machine Translation

Jiatao Gu, Yong Wang, Yun Chen +2

In this paper, we propose to extend the recently introduced model-agnostic meta-learning algorithm (MAML) for low-resource neural machine translation (NMT). We frame low-resource t…

cs.CL2018

A Stable and Effective Learning Strategy for Trainable Greedy Decoding

Yun Chen, Victor O. K. Li, Kyunghyun Cho +1

Beam search is a widely used approximate search strategy for neural network decoders, and it generally outperforms simple greedy decoding on tasks like machine translation. However…

cs.CL2018

Zero-Resource Neural Machine Translation with Multi-Agent Communication Game

Yun Chen, Yang Liu, Victor O. K. Li

While end-to-end neural machine translation (NMT) has achieved notable success in the past years in translating a handful of resource-rich language pairs, it still suffers from the…

cs.CL2017

A Teacher-Student Framework for Zero-Resource Neural Machine Translation

Yun Chen, Yang Liu, Yong Cheng +1

While end-to-end neural machine translation (NMT) has made remarkable progress recently, it still suffers from the data scarcity problem for low-resource language pairs and domains…