activity
20142026
most citedDeep Speech 2: End-to-End Speech Recognition in English and Mandarin

2.2k citations · 3.2k across the 79 of their papers we have counts for

collaborators
Showing 2020 · cs.CLShow all

6 papers · 2 filters

cs.CL2020★ 2 cited

TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog

Wubo Li, Dongwei Jiang, Wei Zou +1

Audio Visual Scene-aware Dialog (AVSD) is a task to generate responses when discussing about a given video. The previous state-of-the-art model shows superior performance for this…

cs.CL2020

DiDi's Machine Translation System for WMT2020

Tanfang Chen, Weiwei Wang, Wenyang Wei +4

This paper describes DiDi AI Labs' submission to the WMT2020 news translation shared task. We participate in the translation direction of Chinese->English. In this direction, we us…

cs.CL2020★ 14 cited

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…

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★ 1 cited

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…