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20162021
most citedCode-Switching for Enhancing NMT with Pre-Specified Translation

43 citations · 144 across the 24 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020★ 2 cited

Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction

Tong Zhu, Haitao Wang, Junjie Yu +4

In recent years, distantly-supervised relation extraction has achieved a certain success by using deep neural networks. Distant Supervision (DS) can automatically generate large-sc…

cs.CL2020

Token Drop mechanism for Neural Machine Translation

Huaao Zhang, Shigui Qiu, Xiangyu Duan +1

Neural machine translation with millions of parameters is vulnerable to unfamiliar inputs. We propose Token Drop to improve generalization and avoid overfitting for the NMT model.…

cs.CL2020★ 9 cited

Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences

Xiangyu Duan, Baijun Ji, Hao Jia +5

In this paper, we propose a new task of machine translation (MT), which is based on no parallel sentences but can refer to a ground-truth bilingual dictionary. Motivated by the abi…

cs.CL2020★ 7 cited

Efficient Second-Order TreeCRF for Neural Dependency Parsing

Yu Zhang, Zhenghua Li, Min Zhang

In the deep learning (DL) era, parsing models are extremely simplified with little hurt on performance, thanks to the remarkable capability of multi-layer BiLSTMs in context repres…

cs.CL2020★ 7 cited

Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing?

Houquan Zhou, Yu Zhang, Zhenghua Li +1

In the pre deep learning era, part-of-speech tags have been considered as indispensable ingredients for feature engineering in dependency parsing. But quite a few works focus on jo…