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Leveraging Large Amounts of Weakly Supervised Data for Mult..:

, In: Proceedings of the 26th International Conference on World Wide Web,

Deriu, Jan ; Lucchi, Aurelien ; De Luca, Valeria... - p. 1045-1052 , 2017

Link: https://dl.acm.org/doi/10.1145/3038912.3052611

RT 
T1 <cTitle>Proceedings of the 26th International Conference on World Wide Web</cTitle>: T1 <Title>Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3052611&Exemplar=1&LAN=DE
				
A1 Deriu, Jan
A1 Lucchi, Aurelien
A1 De Luca, Valeria
A1 Severyn, Aliaksei
A1 Müller, Simon
A1 Cieliebak, Mark
A1 Hofmann, Thomas
A1 Jaggi, Martin
PB International World Wide Web Conferences Steering Committee
YR 2017
K1 multi-language
K1 neural networks
K1 sentiment classification
K1 weak supervision
K1 Computing methodologies
K1 Artificial intelligence
K1 Natural language processing
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Learning settings
K1 Semi-supervised learning settings
K1 Learning paradigms
K1 Multi-task learning
K1 Transfer learning
SP 1045
OP 1052
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3038912.3052611
DO https://dl.acm.org/doi/10.1145/3038912.3052611
SF ELIB - SuUB Bremen

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