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Distilling Knowledge from BERT into Simple Fully Connected ..:

, In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management,

Liu, Peiyang ; Wang, Xi ; Wang, Lin... - p. 3965-3975 , 2021

Link: https://dl.acm.org/doi/10.1145/3459637.3481909

RT 
T1 <cTitle>Proceedings of the 30th ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3481909&Exemplar=1&LAN=DE
				
A1 Liu, Peiyang
A1 Wang, Xi
A1 Wang, Lin
A1 Ye, Wei
A1 Xi, Xiangyu
A1 Zhang, Shikun
PB ACM
YR 2021
K1 bert
K1 knowledge distillation
K1 sponsored search
K1 vertical retrieval
K1 Information systems
K1 World Wide Web
K1 Online advertising
K1 Sponsored search advertising
K1 Information retrieval
K1 Document representation
K1 Information retrieval query processing
K1 Query representation
K1 Retrieval models and ranking
K1 Language models
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Machine learning approaches
K1 Neural networks
K1 Learning latent representations
K1 Machine learning algorithms
K1 Parallel computing methodologies
K1 Parallel algorithms
K1 Massively parallel algorithms
SP 3965
OP 3975
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3459637.3481909
DO https://dl.acm.org/doi/10.1145/3459637.3481909
SF ELIB - SuUB Bremen

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