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20192021
most citedOption Comparison Network for Multiple-choice Reading Comprehension

50 citations · 56 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CL20211 cited

WeChat Neural Machine Translation Systems for WMT21

Xianfeng Zeng, Yijin Liu, Ernan Li +5

This paper introduces WeChat AI's participation in WMT 2021 shared news translation task on English->Chinese, English->Japanese, Japanese->English and English->German. Our systems…

cs.CL20202 cited

Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation

Qiu Ran, Yankai Lin, Peng Li +1

Non-autoregressive neural machine translation (NAT) predicts the entire target sequence simultaneously and significantly accelerates inference process. However, NAT discards the de…

cs.CL2019

Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information

Qiu Ran, Yankai Lin, Peng Li +1

Non-autoregressive neural machine translation (NAT) generates each target word in parallel and has achieved promising inference acceleration. However, existing NAT models still hav…

cs.CL20193 cited

NumNet: Machine Reading Comprehension with Numerical Reasoning

Qiu Ran, Yankai Lin, Peng Li +2

Numerical reasoning, such as addition, subtraction, sorting and counting is a critical skill in human's reading comprehension, which has not been well considered in existing machin…

cs.CL201950 cited

Option Comparison Network for Multiple-choice Reading Comprehension

Qiu Ran, Peng Li, Weiwei Hu +1

Multiple-choice reading comprehension (MCRC) is the task of selecting the correct answer from multiple options given a question and an article. Existing MCRC models typically eithe…