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Multi-Modal Sarcasm Detection with Interactive In-Modal and..:

, In: Proceedings of the 29th ACM International Conference on Multimedia,

Liang, Bin ; Lou, Chenwei ; Li, Xiang... - p. 4707-4715 , 2021

Link: https://dl.acm.org/doi/10.1145/3474085.3475190

RT 
T1 <cTitle>Proceedings of the 29th ACM International Conference on Multimedia</cTitle>: T1 <Title>Multi-Modal Sarcasm Detection with Interactive In-Modal and Cross-Modal Graphs</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3475190&Exemplar=1&LAN=DE
				
A1 Liang, Bin
A1 Lou, Chenwei
A1 Li, Xiang
A1 Gui, Lin
A1 Yang, Min
A1 Xu, Ruifeng
PB ACM
YR 2021
K1 graph networks
K1 multi-modal sarcasm detection
K1 sarcasm detection
K1 Information systems
K1 Information systems applications
K1 Multimedia information systems
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Sentiment analysis
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 Clustering and classification
SP 4707
OP 4715
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3474085.3475190
DO https://dl.acm.org/doi/10.1145/3474085.3475190
SF ELIB - SuUB Bremen

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