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Dongzhe Wang

2 accepted papers

2021

ACT: an Attentive Convolutional Transformer for Efficient Text Classification

AAAI 2021technical

Recently, Transformer has been demonstrating promising performance in many NLP tasks and showing a trend of replacing Recurrent Neural Network (RNN). Meanwhile, less attention is drawn to Convolutional Neural Network (CNN) due to its weak ability in capturing sequential and long-distance dependencie…

Cited by 56SourcePDFScholar
2020

Exploring Question-Specific Rewards for Generating Deep Questions

COLING 2020main

Recent question generation (QG) approaches often utilize the sequence-to-sequence framework (Seq2Seq) to optimize the log likelihood of ground-truth questions using teacher forcing. However, this training objective is inconsistent with actual question quality, which is often reflected by certain glo…