7 citations · 8 across the 4 of their papers we have counts for
4 papers
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary
Xiaokang Liu, Jianquan Li, Jingjing Mu +3
Open intent classification, which aims to correctly classify the known intents into their corresponding classes while identifying the new unknown (open) intents, is an essential bu…
Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk
Benyou Wang, Xiangbo Wu, Xiaokang Liu +3
Language is the principal tool for human communication, in which humor is one of the most attractive parts. Producing natural language like humans using computers, a.k.a, Natural L…
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…
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
Jianquan Li, Xiaokang Liu, Wenpeng Yin +3
Multi-Task Learning (MTL) aims at boosting the overall performance of each individual task by leveraging useful information contained in multiple related tasks. It has shown great…