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Language Modeling

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Showing 13351–13400 of 14182 papers

TitleStatusHype
Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence LearningCode0
Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep LearningCode0
Learning from Past Mistakes: Improving Automatic Speech Recognition Output via Noisy-Clean Phrase Context ModelingCode0
DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified TextCode0
Nested LSTMsCode0
Accelerating recurrent neural network language model based online speech recognition system—0
Discrete Autoencoders for Sequence ModelsCode0
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error CorrectionCode0
Enhancing Translation Language Models with Word Embedding for Information Retrieval—0
Stochastic Learning of Nonstationary Kernels for Natural Language Modeling—0
Exploring Architectures, Data and Units For Streaming End-to-End Speech Recognition with RNN-Transducer—0
Learning Document Embeddings With CNNs—0
EXPLORING NEURAL ARCHITECTURE SEARCH FOR LANGUAGE TASKS—0
Gated ConvNets for Letter-Based ASR—0
Learning to Write by Learning the Objective—0
Distributed Fine-tuning of Language Models on Private Data—0
Dense Recurrent Neural Network with Attention Gate—0
A Goal-oriented Neural Conversation Model by Self-Play—0
A Simple Fully Connected Network for Composing Word Embeddings from Characters—0
Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction—0
LSH Softmax: Sub-Linear Learning and Inference of the Softmax Layer in Deep Architectures—0
From Information Bottleneck To Activation Norm Penalty—0
LEARNING TO ORGANIZE KNOWLEDGE WITH N-GRAM MACHINES—0
PronouncUR: An Urdu Pronunciation Lexicon Generator—0
New Baseline in Automatic Speech Recognition for Northern S\'ami—0
Noise-Based Regularizers for Recurrent Neural Networks—0
Realtime query completion via deep language models—0
Predictive power of word surprisal for reading times is a linear function of language model quality—0
Learning Continuous User Representations through Hybrid Filtering with doc2vec—0
Topic Compositional Neural Language Model—0
Letter-Based Speech Recognition with Gated ConvNetsCode0
A Flexible Approach to Automated RNN Architecture Generation—0
Improving Generalization Performance by Switching from Adam to SGDCode0
Differentially Private Distributed Learning for Language Modeling Tasks—0
Subword and Crossword Units for CTC Acoustic Models—0
StrassenNets: Deep Learning with a Multiplication BudgetCode0
A Novel Way of Identifying Cyber Predators—0
Contextualized Word Representations for Reading ComprehensionCode0
Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery—0
Characterizing the hyper-parameter space of LSTM language models for mixed context applications—0
Building competitive direct acoustics-to-word models for English conversational speech recognition—0
An analysis of incorporating an external language model into a sequence-to-sequence model—0
Deep Gradient Compression Reduce the Communication Bandwidth For distributed TraningCode0
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed TrainingCode0
No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models—0
Text Generation Based on Generative Adversarial Nets with Latent VariableCode0
Preventing Gradient Explosions in Gated Recurrent Units—0
Visual Features for Context-Aware Speech Recognition—0
N-gram Model for Chinese Grammatical Error Diagnosis—0
Stock Market Prediction with Deep Learning: A Character-based Neural Language Model for Event-based Trading—0
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