118 citations · 358 across the 23 of their papers we have counts for
6 papers · 1 filter
ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue
Haoqin Tu, Yitong Li, Fei Mi +1
Incorporating visual knowledge into text-only dialogue systems has become a potential direction to imitate the way humans think, imagine, and communicate. However, existing multimo…
PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation
Haoqin Tu, Zhongliang Yang, Jinshuai Yang +2
Controllable text generation has taken a gigantic step forward these days. Yet existing methods are either constrained in a one-off pattern or not efficient enough for receiving mu…
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling
Haoqin Tu, Zhongliang Yang, Jinshuai Yang +1
Variational Auto-Encoder (VAE) has become the de-facto learning paradigm in achieving representation learning and generation for natural language at the same time. Nevertheless, ex…
A New Sentence Extraction Strategy for Unsupervised Extractive Summarization Methods
Dehao Tao, Yingzhu Xiong, Zhongliang Yang +1
In recent years, text summarization methods have attracted much attention again thanks to the researches on neural network models. Most of the current text summarization methods ba…
Graph-Stega: Semantic Controllable Steganographic Text Generation Guided by Knowledge Graph
Zhongliang Yang, Baitao Gong, Yamin Li +3
Most of the existing text generative steganographic methods are based on coding the conditional probability distribution of each word during the generation process, and then select…
Clinical Assistant Diagnosis for Electronic Medical Record Based on Convolutional Neural Network
Zhongliang Yang, Yongfeng Huang, Yiran Jiang +3
Automatically extracting useful information from electronic medical records along with conducting disease diagnoses is a promising task for both clinical decision support(CDS) and…