18 citations · 32 across the 3 of their papers we have counts for
3 papers
cs.CL2019★ 2 cited
Condition-Transforming Variational AutoEncoder for Conversation Response Generation
Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu +2
This paper proposes a new model, called condition-transforming variational autoencoder (CTVAE), to improve the performance of conversation response generation using conditional var…
cs.CL2019★ 18 cited
Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge
Yu-Ping Ruan, Xiaodan Zhu, Zhen-Hua Ling +3
Winograd Schema Challenge (WSC) was proposed as an AI-hard problem in testing computers' intelligence on common sense representation and reasoning. This paper presents the new stat…
cs.CL2017★ 12 cited
A Sequential Neural Encoder with Latent Structured Description for Modeling Sentences
Yu-Ping Ruan, Qian Chen, Zhen-Hua Ling
In this paper, we propose a sequential neural encoder with latent structured description (SNELSD) for modeling sentences. This model introduces latent chunk-level representations i…