Барлық Байланыстар

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Барлық байланыстар: 103278

Бастапқы нысан Бастапқы түрі Байланыс Мақсатты нысан Түрі Paper ID
Deep End-to-End Neural Model method benefitsFrom Bilateral Attention Mechanism method 41886.0
Deep End-to-End Neural Model method integrates Constituency Parser method 41886.0
Deep Evidential Emotion Regression method estimates Uncertainty task 37575.0
Deep Evidential Emotion Regression method evaluatedIn IEMOCAP material 37575.0
Deep Factored Machine Translation method consistsOf Linguistic Annotation otherentity 20397.0
Deep Factored Machine Translation method includes Post-processing method 20397.0
Deep Factored Machine Translation method involves Manual Evaluation method 20397.0
Deep Factored Machine Translation method uses Moses method 20397.0
Deep Feature Fusion Network method addresses Answer Quality Prediction task 4480.0
Deep Feature Fusion Network method evaluatedIn SemEval 2015 Dataset material 4480.0
Deep Feature Fusion Network method evaluatedIn SemEval 2016 Dataset material 4480.0
Deep Feature Fusion Network method uses Bi-directional LSTM with Neural Attention method 4480.0
Deep Feature Fusion Network method uses Deep Learning method 4480.0
Deep Feature Fusion Network method uses Deep Neural Network method 4480.0
Deep Feature Fusion Network method uses Handcrafted Features material 4480.0
Deep Features material improves Interactive Question Answering task 8213.0
Deep Fusion LSTMs method enhancedBy External Memory otherentity 40442.0
Deep Fusion LSTMs method uses LSTM method 40442.0
Deep Fusion Models method enhances Emotion Recognition task 39294.0
Deep Fusion Models method enhances Image Description material 39294.0