5 citations · 5 across the 1 of their papers we have counts for
7 papers · 1 filter
A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining
Boliang Zhang, Ying Lyu, Ning Ding +4
This paper describes our submission for the End-to-end Multi-domain Task Completion Dialog shared task at the 9th Dialog System Technology Challenge (DSTC-9). Participants in the s…
Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning
Dongwei Jiang, Wubo Li, Miao Cao +2
Self-supervised visual pretraining has shown significant progress recently. Among those methods, SimCLR greatly advanced the state of the art in self-supervised and semi-supervised…
Adversarial Multi-Binary Neural Network for Multi-class Classification
Haiyang Xu, Junwen Chen, Kun Han +1
Multi-class text classification is one of the key problems in machine learning and natural language processing. Emerging neural networks deal with the problem using a multi-output…
Learning Syntactic and Dynamic Selective Encoding for Document Summarization
Haiyang Xu, Yahao He, Kun Han +2
Text summarization aims to generate a headline or a short summary consisting of the major information of the source text. Recent studies employ the sequence-to-sequence framework t…
Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization
Haiyang Xu, Yun Wang, Kun Han +3
Abstractive text summarization is a challenging task, and one need to design a mechanism to effectively extract salient information from the source text and then generate a summary…
Learning Alignment for Multimodal Emotion Recognition from Speech
Haiyang Xu, Hui Zhang, Kun Han +3
Speech emotion recognition is a challenging problem because human convey emotions in subtle and complex ways. For emotion recognition on human speech, one can either extract emotio…