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Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations



Na Liu , Mark Dras , Wei Emma Zhang

* 13 pages, RepL4NLP 2022 

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Embedding Knowledge for Document Summarization: A Survey



Yutong Qu , Wei Emma Zhang , Jian Yang , Lingfei Wu , Jia Wu , Xindong Wu

* 8 pages, 1 figure 

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Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization



Congbo Ma , Wei Emma Zhang , Hu Wang , Shubham Gupta , Mingyu Guo


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Conversational Question Answering: A Survey



Munazza Zaib , Wei Emma Zhang , Quan Z. Sheng , Adnan Mahmood , Yang Zhang


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A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep



Zawar Hussain , Quan Z. Sheng , Wei Emma Zhang , Jorge Ortiz , Seyedamin Pouriyeh


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A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP



Munazza Zaib , Quan Z. Sheng , Wei Emma Zhang


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Multi-document Summarization via Deep Learning Techniques: A Survey



Congbo Ma , Wei Emma Zhang , Mingyu Guo , Hu Wang , Quan Z. Sheng


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Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering



Ruixue Tang , Chao Ma , Wei Emma Zhang , Qi Wu , Xiaokang Yang

* To appear in ECCV 2020 

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Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems



Yuanjiang Cao , Xiaocong Chen , Lina Yao , Xianzhi Wang , Wei Emma Zhang


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Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems



Dai Hoang Tran , Quan Z. Sheng , Wei Emma Zhang , Salma Abdalla Hamad , Munazza Zaib , Nguyen H. Tran , Lina Yao , Nguyen Lu Dang Khoa

* 7 pages, 3 figures, 1 table 

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