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Deep Learning

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Papers

Radical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese ACML 2017 Rescoring-Aware Beam Search for Reduced Search Errors in Contextual Automatic Speech Recognition Interspeech 2017 Revisiting the Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis IJCNLP 2017 Robust Training under Linguistic Adversity EACL 2017 SGD Learns the Conjugate Kernel Class of the Network NeurIPS 2017 SGNMT – A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies EMNLP 2017 Summarizing Lengthy Questions IJCNLP 2017 Text Sentiment Analysis based on Fusion of Structural Information and Serialization Information IJCNLP 2017 Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications ACML 2017 Very Deep Convolutional Networks for Text Classification EACL 2017 Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks Interspeech 2017 Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? EACL 2017 Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison EACL 2017 ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning ICML 2017 A Hybrid Causal Search Algorithm for Latent Variable Models PGM 2016 Analysis on Gated Recurrent Unit Based Question Detection Approach Interspeech 2016 A New Pre-Training Method for Training Deep Learning Models with Application to Spoken Language Understanding Interspeech 2016 A Step Beyond Local Observations with a Dialog Aware Bidirectional GRU Network for Spoken Language Understanding Interspeech 2016 Backprop KF: Learning Discriminative Deterministic State Estimators NeurIPS 2016 Behavioral Coding of Therapist Language in Addiction Counseling Using Recurrent Neural Networks Interspeech 2016 Causal Speech Enhancement Combining Data-Driven Learning and Suppression Rule Estimation Interspeech 2016 Context-aware Natural Language Generation for Spoken Dialogue Systems COLING 2016 Context-Sensitive and Role-Dependent Spoken Language Understanding Using Bidirectional and Attention LSTMs Interspeech 2016 Correcting Forecasts with Multifactor Neural Attention ICML 2016 Deep Stacked Autoencoders for Spoken Language Understanding Interspeech 2016