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

43 citations · 125 across the 19 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

cs.CL2019★ 8 cited

Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation

Baijun Ji, Zhirui Zhang, Xiangyu Duan +3

Transfer learning between different language pairs has shown its effectiveness for Neural Machine Translation (NMT) in low-resource scenario. However, existing transfer methods inv…

cs.CL2019★ 5 cited

Improving Neural Relation Extraction with Positive and Unlabeled Learning

Zhengqiu He, Wenliang Chen, Yuyi Wang +3

We present a novel approach to improve the performance of distant supervision relation extraction with Positive and Unlabeled (PU) Learning. This approach first applies reinforceme…

cs.CL2019★ 1 cited

A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling

Qingrong Xia, Zhenghua Li, Min Zhang

Semantic role labeling (SRL) aims to identify the predicate-argument structure of a sentence. Inspired by the strong correlation between syntax and semantics, previous works pay mu…

cs.CL2019★ 3 cited

Contrastive Attention Mechanism for Abstractive Sentence Summarization

Xiangyu Duan, Hoongfei Yu, Mingming Yin +3

We propose a contrastive attention mechanism to extend the sequence-to-sequence framework for abstractive sentence summarization task, which aims to generate a brief summary of a g…

cs.CL2019★ 3 cited

Syntax-aware Neural Semantic Role Labeling

Qingrong Xia, Zhenghua Li, Min Zhang +4

Semantic role labeling (SRL), also known as shallow semantic parsing, is an important yet challenging task in NLP. Motivated by the close correlation between syntactic and semantic…

cs.CL2019★ 43 cited

Code-Switching for Enhancing NMT with Pre-Specified Translation

Kai Song, Yue Zhang, Heng Yu +3

Leveraging user-provided translation to constrain NMT has practical significance. Existing methods can be classified into two main categories, namely the use of placeholder tags fo…