About: covid:PMC7304726

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An Entity of Type : owl:Thing, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
Creator	Liu, Peng Sloot, Peter Teixeira, João Wang, Xuebin Dongarra, Jack Brissos, Sérgio Krzhizhanovskaya, Valeria Lees, Michael Shi, Jinqiao Wang, Siyuan Zhao, Can Závodszky, Gábor Yin, Zelin
is schema:about of	named entity 'Aspect' named entity 'Global' named entity 'MODELING' named entity 'CONTEXT' named entity 'ATTENTION' named entity 'IAN' named entity 'training data' named entity 'LSTM' named entity 'ith' named entity '0.01' named entity 'LSTM' named entity 'word embeddings' named entity 'LSTMs' named entity 'SVM' named entity 'LSTM' named entity 'support vector machine' named entity 'GRU' named entity 'IAN' named entity 'hyperparameters' named entity 'Neural-network' named entity 'semantic' named entity 'CNN' named entity 'SemEval' named entity 'word embedding' named entity 'GloVe' named entity 'CNN' named entity 'semantic' named entity 'ith' named entity 'feature engineering' named entity 'neural-network' named entity 'hyperbolic tangent' named entity 'ith' named entity 'NLP' named entity 'semantic' named entity 'CNN' named entity 'word embedding' named entity 'tanh' named entity 'IAN' named entity 'ith' named entity 'word embeddings' named entity 'word embedding' named entity 'semantic' named entity 'ith' named entity 'LSTM' named entity 'hyperbolic tangent' named entity 'LSTMs' named entity 'word embeddings' named entity 'ith' named entity 'PBAN' named entity 'LSTM' named entity 'feature engineering' named entity 'PBAN' named entity 'LSTM' named entity 'contextual information' named entity 'IAN' named entity 'word embedding' named entity 'PBAN' named entity 'CNN' named entity 'ith' named entity 'CNN' named entity 'n-gram' named entity 'SVM' named entity 'LSTM' named entity 'convolutional layer' named entity 'contextual information' named entity 'LSTM' named entity '0.01' named entity 'IAN' named entity 'neural-network' named entity 'size of the vocabulary' named entity 'feature engineering' named entity 'word embeddings' named entity 'pre-trained' named entity 'LSTM' named entity 'semantic' named entity 'LSTM' named entity 'NLP' named entity 'LSTM' named entity 'ith' named entity 'model training' named entity 'uniform distribution' named entity 'softmax layer' named entity 'neural-network' named entity 'sentence word' named entity 'LSTM' named entity 'RNN' named entity 'matrices'

Attributes

Values

Creator

Liu, Peng
Sloot, Peter
Teixeira, João
Wang, Xuebin
Dongarra, Jack
Brissos, Sérgio
Krzhizhanovskaya, Valeria
Lees, Michael
Shi, Jinqiao
Wang, Siyuan
Zhao, Can
Závodszky, Gábor
Yin, Zelin

is schema:about of

named entity 'Aspect'
named entity 'Global'
named entity 'MODELING'
named entity 'CONTEXT'
named entity 'ATTENTION'
named entity 'IAN'
named entity 'training data'
named entity 'LSTM'
named entity 'ith'
named entity '0.01'
named entity 'LSTM'
named entity 'word embeddings'
named entity 'LSTMs'
named entity 'SVM'
named entity 'LSTM'
named entity 'support vector machine'
named entity 'GRU'
named entity 'IAN'
named entity 'hyperparameters'
named entity 'Neural-network'
named entity 'semantic'
named entity 'CNN'
named entity 'SemEval'
named entity 'word embedding'
named entity 'GloVe'
named entity 'CNN'
named entity 'semantic'
named entity 'ith'
named entity 'feature engineering'
named entity 'neural-network'
named entity 'hyperbolic tangent'
named entity 'ith'
named entity 'NLP'
named entity 'semantic'
named entity 'CNN'
named entity 'word embedding'
named entity 'tanh'
named entity 'IAN'
named entity 'ith'
named entity 'word embeddings'
named entity 'word embedding'
named entity 'semantic'
named entity 'ith'
named entity 'LSTM'
named entity 'hyperbolic tangent'
named entity 'LSTMs'
named entity 'word embeddings'
named entity 'ith'
named entity 'PBAN'
named entity 'LSTM'
named entity 'feature engineering'
named entity 'PBAN'
named entity 'LSTM'
named entity 'contextual information'
named entity 'IAN'
named entity 'word embedding'
named entity 'PBAN'
named entity 'CNN'
named entity 'ith'
named entity 'CNN'
named entity 'n-gram'
named entity 'SVM'
named entity 'LSTM'
named entity 'convolutional layer'
named entity 'contextual information'
named entity 'LSTM'
named entity '0.01'
named entity 'IAN'
named entity 'neural-network'
named entity 'size of the vocabulary'
named entity 'feature engineering'
named entity 'word embeddings'
named entity 'pre-trained'
named entity 'LSTM'
named entity 'semantic'
named entity 'LSTM'
named entity 'NLP'
named entity 'LSTM'
named entity 'ith'
named entity 'model training'
named entity 'uniform distribution'
named entity 'softmax layer'
named entity 'neural-network'
named entity 'sentence word'
named entity 'LSTM'
named entity 'RNN'
named entity 'matrices'

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