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TwinBERT : Distilling Knowledge to Twin-Structured Compr..:

, In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management,

Lu, Wenhao ; Jiao, Jian ; Zhang, Ruofei - p. 2645-2652 , 2020

Link: https://dl.acm.org/doi/10.1145/3340531.3412747

RT 
T1 <cTitle>Proceedings of the 29th ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>TwinBERT				: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3412747&Exemplar=1&LAN=DE
				
A1 Lu, Wenhao
A1 Jiao, Jian
A1 Zhang, Ruofei
PB ACM
YR 2020
K1 bert
K1 deep learning
K1 deep neural network
K1 information retrieval
K1 knowledge distillation
K1 semantic embedding
K1 sponsored search
K1 Information systems
K1 World Wide Web
K1 Online advertising
K1 Sponsored search advertising
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Parallel computing methodologies
K1 Parallel algorithms
K1 Massively parallel algorithms
K1 Information retrieval
K1 Information retrieval query processing
K1 Query representation
K1 Document representation
K1 Retrieval tasks and goals
K1 Document filtering
SP 2645
OP 2652
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3340531.3412747
DO https://dl.acm.org/doi/10.1145/3340531.3412747
SF ELIB - SuUB Bremen

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