95 citations
- Shenzhen Technology UniversityCN9 papers
- Chang Gung Memorial HospitalTW6 papers
- Beijing University of Posts and TelecommunicationsCN5 papers
- National Institutes of Health Clinical CenterUS5 papers
- University of Science and Technology of ChinaCN5 papers
- Beijing Institute of TechnologyCN3 papers
- Johns Hopkins UniversityUS3 papers
- Alibaba Group (China)CN2 papers
- Association for Computing MachineryUS2 papers
- China Medical UniversityTW2 papers
- First Affiliated Hospital Zhejiang UniversityCN2 papers
- Huazhong University of Science and TechnologyCN2 papers
11 papers · 1 filter
Loss Prediction: End-to-End Active Learning Approach For Speech Recognition
Jian Luo, Jianzong Wang, Ning Cheng +1
End-to-end speech recognition systems usually require huge amounts of labeling resource, while annotating the speech data is complicated and expensive. Active learning is the solut…
RefBERT: Compressing BERT by Referencing to Pre-computed Representations
Xinyi Wang, Haiqin Yang, Liang Zhao +2
Recently developed large pre-trained language models, e.g., BERT, have achieved remarkable performance in many downstream natural language processing applications. These pre-traine…
Progressive Open-Domain Response Generation with Multiple Controllable Attributes
Haiqin Yang, Xiaoyuan Yao, Yiqun Duan +3
It is desirable to include more controllable attributes to enhance the diversity of generated responses in open-domain dialogue systems. However, existing methods can generate resp…
KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph
Yiying Yang, Xi Yin, Haiqin Yang +5
Entity synonyms discovery is crucial for entity-leveraging applications. However, existing studies suffer from several critical issues: (1) the input mentions may be out-of-vocabul…
Automatic Intent-Slot Induction for Dialogue Systems
Zengfeng Zeng, Dan Ma, Haiqin Yang +2
Automatically and accurately identifying user intents and filling the associated slots from their spoken language are critical to the success of dialogue systems. Traditional metho…
Efficient Client Contribution Evaluation for Horizontal Federated Learning
Jie Zhao, Xinghua Zhu, Jianzong Wang +1
In federated learning (FL), fair and accurate measurement of the contribution of each federated participant is of great significance. The level of contribution not only provides a…