activity
20182020
most citedSGM: Sequence Generation Model for Multi-label Classification

53 citations · 146 across the 12 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.CL2019★ 1 cited

Visual Agreement Regularized Training for Multi-Modal Machine Translation

Pengcheng Yang, Boxing Chen, Pei Zhang +1

Multi-modal machine translation aims at translating the source sentence into a different language in the presence of the paired image. Previous work suggests that additional visual…

cs.CL2019★ 2 cited

Pun-GAN: Generative Adversarial Network for Pun Generation

Fuli Luo, Shunyao Li, Pengcheng Yang +4

In this paper, we focus on the task of generating a pun sentence given a pair of word senses. A major challenge for pun generation is the lack of large-scale pun corpus to guide th…

cs.CL2019★ 2 cited

Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation

Shuming Ma, Pengcheng Yang, Tianyu Liu +3

Table-to-text generation aims to translate the structured data into the unstructured text. Most existing methods adopt the encoder-decoder framework to learn the transformation, wh…

cs.CL2019★ 41 cited

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer

Fuli Luo, Peng Li, Jie Zhou +4

Unsupervised text style transfer aims to transfer the underlying style of text but keep its main content unchanged without parallel data. Most existing methods typically follow two…

cs.LG2019★ 13 cited

Memorized Sparse Backpropagation

Zhiyuan Zhang, Pengcheng Yang, Xuancheng Ren +2

Neural network learning is usually time-consuming since backpropagation needs to compute full gradients and backpropagate them across multiple layers. Despite its success of existi…