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Source Entity Source Type Relationship Target Entity Type Paper ID
Deep Convolutional Neural Network method usedFor Sentiment Analysis task 6083.0
Deep Convolutional Neural Networks method appliesTo Concrete Nouns task 27274.0
Deep Decoder otherentity uses Cross Attention Drop Mechanism method 32948.0
Deep Differential Amplifier Framework method addresses Sentence Level Extractive Summarization task 8866.0
Deep Differential Amplifier Framework method incorporates Residual Unit method 8866.0
Deep Differential Amplifier Framework method uses Semantic Difference metric 8866.0
Deep Dirichlet Multinomial Regression method comparesWith Dirichlet Multinomial Regression method 22340.0
Deep Dirichlet Multinomial Regression method evaluatedIn Amazon Product Reviews material 22340.0
Deep Dirichlet Multinomial Regression method evaluatedIn New York Times articles material 22340.0
Deep Dirichlet Multinomial Regression method evaluatedIn Reddit Posts material 22340.0
Deep Dirichlet Multinomial Regression method outperforms heldout perplexity metric 22340.0
Deep Dyna Q method improves Dialog Policy Learning task 34026.0
Deep Dyna Q method integrates Gaussian Process method 34026.0
Deep Dyna Q method uses World Model method 34026.0
Deep Embedding Clustering method addresses Short Text Clustering task 5021.0
Deep Encoder with Multiple Shallow Decoders method achieves Speedup metric 42677.0
Deep End-to-End Model method achieves F Score metric 37356.0
Deep End-to-End Model method requires Labeled Dataset material 37356.0
Deep End-to-End Model method uses Cross Entropy Loss method 37356.0
Deep End-to-End Neural Model method achieves Human Performance metric 41886.0