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MICK: A Meta-Learning Framework for Few-shot Relation Class..:

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

Geng, Xiaoqing ; Chen, Xiwen ; Zhu, Kenny Q... - p. 415-424 , 2020

Link: https://dl.acm.org/doi/10.1145/3340531.3411858

RT 
T1 <cTitle>Proceedings of the 29th ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3411858&Exemplar=1&LAN=DE
				
A1 Geng, Xiaoqing
A1 Chen, Xiwen
A1 Zhu, Kenny Q.
A1 Shen, Libin
A1 Zhao, Yinggong
PB ACM
YR 2020
K1 few-shot learning
K1 meta-learning
K1 relation classification
K1 small training data
K1 Information systems
K1 Data management systems
K1 Database design and models
K1 Entity relationship models
K1 Information retrieval
K1 Document representation
K1 Data encoding and canonicalization
K1 Computing methodologies
K1 Artificial intelligence
K1 Natural language processing
K1 Information extraction
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Language resources
K1 Information integration
K1 Data exchange
K1 Lexical semantics
SP 415
OP 424
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3340531.3411858
DO https://dl.acm.org/doi/10.1145/3340531.3411858
SF ELIB - SuUB Bremen

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