32 citations · 101 across the 12 of their papers we have counts for
12 papers
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking
Binzong Geng, Fajie Yuan, Qiancheng Xu +3
This ability to learn consecutive tasks without forgetting how to perform previously trained problems is essential for developing an online dialogue system. This paper proposes an…
Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification
Binzong Geng, Min Yang, Fajie Yuan +3
Lifelong learning capabilities are crucial for sentiment classifiers to process continuous streams of opinioned information on the Web. However, performing lifelong learning is non…
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge
Yang Deng, Yuexiang Xie, Yaliang Li +3
Answer selection, which is involved in many natural language processing applications such as dialog systems and question answering (QA), is an important yet challenging task in pra…
BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover's Distance
Jianquan Li, Xiaokang Liu, Honghong Zhao +3
Pre-trained language models (e.g., BERT) have achieved significant success in various natural language processing (NLP) tasks. However, high storage and computational costs obstruc…
Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network
Chi Xu, Hao Feng, Guoxin Yu +3
Most recent existing aspect-term level sentiment analysis (ATSA) approaches combined various neural network models with delicately carved attention mechanisms built upon given aspe…
Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering
Jian Wang, Junhao Liu, Wei Bi +4
Neural network models usually suffer from the challenge of incorporating commonsense knowledge into the open-domain dialogue systems. In this paper, we propose a novel knowledge-aw…