135 citations · 240 across the 5 of their papers we have counts for
41 papers
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
Zheni Zeng, Chaojun Xiao, Yuan Yao +5
Recommender systems aim to provide item recommendations for users, and are usually faced with data sparsity problem (e.g., cold start) in real-world scenarios. Recently pre-trained…
Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations
Yuan Zang, Bairu Hou, Fanchao Qi +3
Adversarial attacking aims to fool deep neural networks with adversarial examples. In the field of natural language processing, various textual adversarial attack models have been…
Country Image in COVID-19 Pandemic: A Case Study of China
Huimin Chen, Zeyu Zhu, Fanchao Qi +4
Country image has a profound influence on international relations and economic development. In the worldwide outbreak of COVID-19, countries and their people display different reac…
Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation
Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang +2
For multi-channel speech recognition, speech enhancement techniques such as denoising or dereverberation are conventionally applied as a front-end processor. Deep learning-based fr…
How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
Haoxi Zhong, Chaojun Xiao, Cunchao Tu +3
Legal Artificial Intelligence (LegalAI) focuses on applying the technology of artificial intelligence, especially natural language processing, to benefit tasks in the legal domain.…
Coreferential Reasoning Learning for Language Representation
Deming Ye, Yankai Lin, Jiaju Du +4
Language representation models such as BERT could effectively capture contextual semantic information from plain text, and have been proved to achieve promising results in lots of…