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1 Ergebnisse
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SACNN: Self-attentive Convolutional Neural Network Model fo..:
Quamer, Waris
;
Jain, Praphula Kumar
;
Rai, Arpit
...
Transactions on Asian and Low-Resource Language Information Processing. 20 (2021) 3 - p. 1-16 , 2021
Link:
https://dl.acm.org/doi/10.1145/3426884
RT Journal T1 <Title>SACNN: Self-attentive Convolutional Neural Network Model for Natural Language Inference</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3426884&Exemplar=1&LAN=DE A1 Quamer, Waris A1 Jain, Praphula Kumar A1 Rai, Arpit A1 Saravanan, Vijayalakshmi A1 Pamula, Rajendra A1 Kumar, Chiranjeev PB ACM YR 2021 SN 2375-4699 SN 2375-4702 K1 Natural language inference K1 convolutional neural network K1 attention K1 machine learning K1 Computing methodologies K1 Natural language processing K1 Learning paradigms K1 Machine learning JF Transactions on Asian and Low-Resource Language Information Processing VO 20 IS 3 SP 1 OP 16 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3426884 DO https://dl.acm.org/doi/10.1145/3426884 SF ELIB - SuUB Bremen
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