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TitleStatusHype
The Marchex 2018 English Conversational Telephone Speech Recognition System—0
Do RNNs learn human-like abstract word order preferences?Code0
Towards Unsupervised Speech-to-Text Translation—0
Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data TasksCode0
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation—0
Progress and Tradeoffs in Neural Language Models—0
Cycle-consistency training for end-to-end speech recognition—0
Adversarial Training of End-to-end Speech Recognition Using a Criticizing Language Model—0
Learning to Define Terms in the Software Domain—0
Does Syntactic Knowledge in Multilingual Language Models Transfer Across Languages?—0
Importance of Self-Attention for Sentiment Analysis—0
Juman++: A Morphological Analysis Toolkit for Scriptio ContinuaCode0
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models—0
Closing Brackets with Recurrent Neural Networks—0
`Indicatements' that character language models learn English morpho-syntactic units and regularities—0
Convolutions Are All You Need (For Classifying Character Sequences)—0
Language Models Learn POS First—0
Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis—0
Towards Coherent and Cohesive Long-form Text Generation—0
Representation of Word Meaning in the Intermediate Projection Layer of a Neural Language Model—0
On the End-to-End Solution to Mandarin-English Code-switching Speech RecognitionCode0
What do RNN Language Models Learn about Filler--Gap Dependencies?—0
Understanding Learning Dynamics Of Language Models with SVCCA—0
Improving Machine Reading Comprehension with General Reading StrategiesCode0
Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model—0
Recurrent Attention Unit—0
Towards End-to-end Automatic Code-Switching Speech Recognition—0
Visual Re-ranking with Natural Language Understanding for Text SpottingCode0
Language Modeling with Sparse Product of Sememe ExpertsCode0
Counting in Language with RNNs—0
Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech Recognition—0
Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative TrainingCode0
Can Entropy Explain Successor Surprisal Effects in Reading?—0
Learn to Code-Switch: Data Augmentation using Copy Mechanism on Language Modeling—0
Universal Language Model Fine-Tuning with Subword Tokenization for PolishCode0
Neural Transition-based Syntactic Linearization—0
A Deep Generative Acoustic Model for Compositional Automatic Speech Recognition—0
Language Modeling at Scale—0
Bridging HMMs and RNNs through Architectural Transformations—0
Ordered Neurons: Integrating Tree Structures into Recurrent Neural NetworksCode0
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation—0
Real-time Neural-based Input Method—0
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed RepresentationsCode0
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural NetworksCode0
Trellis Networks for Sequence ModelingCode0
Structured Content Preservation for Unsupervised Text Style TransferCode0
Unsupervised Neural Word Segmentation for Chinese via Segmental Language ModelingCode0
Understanding Recurrent Neural Architectures by Analyzing and Synthesizing Long Distance Dependencies in Benchmark Sequential Datasets—0
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling—0
Learning Compressed Transforms with Low Displacement RankCode0
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