most citedData Augmentation for BERT Fine-Tuning in Open-Domain Question Answering

36 citations · 48 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS20197 cited

The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion

Weicheng Cai, Haiwei Wu, Danwei Cai +1

This paper describes our DKU replay detection system for the ASVspoof 2019 challenge. The goal is to develop spoofing countermeasure for automatic speaker recognition in physical a…

eess.AS20191 cited

The DKU System for the Speaker Recognition Task of the 2019 VOiCES from a Distance Challenge

Danwei Cai, Xiaoyi Qin, Weicheng Cai +1

In this paper, we present the DKU system for the speaker recognition task of the VOiCES from a distance challenge 2019. We investigate the whole system pipeline for the far-field s…

eess.AS20191 cited

The DKU-SMIIP System for NIST 2018 Speaker Recognition Evaluation

Danwei Cai, Weicheng Cai, Ming Li

In this paper, we present the system submission for the NIST 2018 Speaker Recognition Evaluation by DKU Speech and Multi-Modal Intelligent Information Processing (SMIIP) Lab. We ex…

cs.CL201936 cited

Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering

Wei Yang, Yuqing Xie, Luchen Tan +3

Recently, a simple combination of passage retrieval using off-the-shelf IR techniques and a BERT reader was found to be very effective for question answering directly on Wikipedia,…

eess.AS20193 cited

Utterance-level end-to-end language identification using attention-based CNN-BLSTM

Weicheng Cai, Danwei Cai, Shen Huang +1

In this paper, we present an end-to-end language identification framework, the attention-based Convolutional Neural Network-Bidirectional Long-short Term Memory (CNN-BLSTM). The mo…