activity
20182021
most citedA Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining

5 citations · 5 across the 1 of their papers we have counts for

collaborators

9 papers

cs.CL20215 cited

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…

cs.CL2020

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…

eess.AS2020

DiDiSpeech: A Large Scale Mandarin Speech Corpus

Tingwei Guo, Cheng Wen, Dongwei Jiang +8

This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech. It consists of about 800 hours of speech data at 48kHz sampling rate from 6000 speakers and the…

cs.CL2020

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…

cs.CL2020

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…

cs.CL2020

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…