244 citations · 356 across the 22 of their papers we have counts for
11 papers · 2 filters
Neural Machine Translation with Adequacy-Oriented Learning
Xiang Kong, Zhaopeng Tu, Shuming Shi +2
Although Neural Machine Translation (NMT) models have advanced state-of-the-art performance in machine translation, they face problems like the inadequate translation. We attribute…
Generating Multiple Diverse Responses for Short-Text Conversation
Jun Gao, Wei Bi, Xiaojiang Liu +2
Neural generative models have become popular and achieved promising performance on short-text conversation tasks. They are generally trained to build a 1-to-1 mapping from the inpu…
Exploiting Deep Representations for Neural Machine Translation
Zi-Yi Dou, Zhaopeng Tu, Xing Wang +2
Advanced neural machine translation (NMT) models generally implement encoder and decoder as multiple layers, which allows systems to model complex functions and capture complicated…
Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory
Deng Cai, Yan Wang, Victoria Bi +4
For dialogue response generation, traditional generative models generate responses solely from input queries. Such models rely on insufficient information for generating a specific…
Language Style Transfer from Sentences with Arbitrary Unknown Styles
Yanpeng Zhao, Wei Bi, Deng Cai +3
Language style transfer is the problem of migrating the content of a source sentence to a target style. In many of its applications, parallel training data are not available and so…
A Manually Annotated Chinese Corpus for Non-task-oriented Dialogue Systems
Jing Li, Yan Song, Haisong Zhang +1
This paper presents a large-scale corpus for non-task-oriented dialogue response selection, which contains over 27K distinct prompts more than 82K responses collected from social m…