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20192022
most citedNeural Machine Translation: A Review of Methods, Resources, and Tools

8 citations · 15 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CL2022

An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation

Xuancheng Huang, Zijun Liu, Peng Li +3

Recently, multi-aspect controllable text generation that controls the generated text in multiple aspects (e.g., sentiment, topic, and keywords) has attracted increasing attention.…

cs.CL2021★ 7 cited

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark

Yuan Yao, Qingxiu Dong, Jian Guan +32

Realizing general-purpose language intelligence has been a longstanding goal for natural language processing, where standard evaluation benchmarks play a fundamental and guiding ro…

cs.CL2021

Transfer Learning for Sequence Generation: from Single-source to Multi-source

Xuancheng Huang, Jingfang Xu, Maosong Sun +1

Multi-source sequence generation (MSG) is an important kind of sequence generation tasks that takes multiple sources, including automatic post-editing, multi-source translation, mu…

cs.CL2020★ 8 cited

Neural Machine Translation: A Review of Methods, Resources, and Tools

Zhixing Tan, Shuo Wang, Zonghan Yang +4

Machine translation (MT) is an important sub-field of natural language processing that aims to translate natural languages using computers. In recent years, end-to-end neural machi…

cs.CL2019

Learning to Copy for Automatic Post-Editing

Xuancheng Huang, Yang Liu, Huanbo Luan +2

Automatic post-editing (APE), which aims to correct errors in the output of machine translation systems in a post-processing step, is an important task in natural language processi…