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20172023
most citedSelf-Paced Learning for Neural Machine Translation

39 citations · 325 across the 35 of their papers we have counts for

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Showing 2022Show all

12 papers · 1 filter

cs.CL2022

Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?

Pei Zhang, Baosong Yang, Haoran Wei +4

Neural machine translation (NMT) is often criticized for failures that happen without awareness. The lack of competency awareness makes NMT untrustworthy. This is in sharp contrast…

cs.CL2022★ 1 cited

WR-ONE2SET: Towards Well-Calibrated Keyphrase Generation

Binbin Xie, Xiangpeng Wei, Baosong Yang +5

Keyphrase generation aims to automatically generate short phrases summarizing an input document. The recently emerged ONE2SET paradigm (Ye et al., 2021) generates keyphrases as a s…

cs.CL2022★ 2 cited

Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task

Keqin Bao, Yu Wan, Dayiheng Liu +5

In this paper, we present our submission to the sentence-level MQM benchmark at Quality Estimation Shared Task, named UniTE (Unified Translation Evaluation). Specifically, our syst…

cs.CL2022★ 3 cited

Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task

Yu Wan, Keqin Bao, Dayiheng Liu +5

In this report, we present our submission to the WMT 2022 Metrics Shared Task. We build our system based on the core idea of UNITE (Unified Translation Evaluation), which unifies s…

cs.CL2022

Draft, Command, and Edit: Controllable Text Editing in E-Commerce

Kexin Yang, Dayiheng Liu, Wenqiang Lei +3

Product description generation is a challenging and under-explored task. Most such work takes a set of product attributes as inputs then generates a description from scratch in a s…

cs.CL2022★ 1 cited

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis

Yiwei Wang, Muhao Chen, Wenxuan Zhou +6

Recent literature focuses on utilizing the entity information in the sentence-level relation extraction (RE), but this risks leaking superficial and spurious clues of relations. As…