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20202023
most citedLarge Scale Image Completion via Co-Modulated Generative Adversarial Networks

136 citations · 231 across the 16 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CL2020

Modeling Homophone Noise for Robust Neural Machine Translation

Wenjie Qin, Xiang Li, Yuhui Sun +3

In this paper, we propose a robust neural machine translation (NMT) framework. The framework consists of a homophone noise detector and a syllable-aware NMT model to homophone erro…

cs.CL2020★ 2 cited

Writing Polishment with Simile: Task, Dataset and A Neural Approach

Jiayi Zhang, Zhi Cui, Xiaoqiang Xia +4

A simile is a figure of speech that directly makes a comparison, showing similarities between two different things, e.g. "Reading papers can be dull sometimes,like watching grass g…

cs.CL2020★ 2 cited

Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension

Xiuying Chen, Zhi Cui, Jiayi Zhang +5

In multi-turn dialog, utterances do not always take the full form of sentences \cite{Carbonell1983DiscoursePA}, which naturally makes understanding the dialog context more difficul…

cs.CL2020★ 3 cited

Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism

Pan Xie, Zhi Cui, Xiuyin Chen +3

Non-autoregressive models generate target words in a parallel way, which achieve a faster decoding speed but at the sacrifice of translation accuracy. To remedy a flawed translatio…

cs.CL2020

Focus-Constrained Attention Mechanism for CVAE-based Response Generation

Zhi Cui, Yanran Li, Jiayi Zhang +3

To model diverse responses for a given post, one promising way is to introduce a latent variable into Seq2Seq models. The latent variable is supposed to capture the discourse-level…

cs.CL2020★ 3 cited

Modeling Discourse Structure for Document-level Neural Machine Translation

Junxuan Chen, Xiang Li, Jiarui Zhang +4

Recently, document-level neural machine translation (NMT) has become a hot topic in the community of machine translation. Despite its success, most of existing studies ignored the…