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Language Modeling

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Showing 12751–12800 of 14182 papers

TitleStatusHype
SEQ\^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence CompressionCode0
Speak up, Fight Back! Detection of Social Media Disclosures of Sexual Harassment—0
Neural GRANNy at SemEval-2019 Task 2: A combined approach for better modeling of semantic relationships in semantic frame induction—0
nlpUP at SemEval-2019 Task 6: A Deep Neural Language Model for Offensive Language Detection—0
Adversarial Generation and Encoding of Nested Texts—0
Table2Vec: Neural Word and Entity Embeddings for Table Population and RetrievalCode0
A Compare-Aggregate Model with Latent Clustering for Answer Selection—0
A Simple but Effective Method to Incorporate Multi-turn Context with BERT for Conversational Machine Comprehension—0
Lattice-based lightly-supervised acoustic model training—0
LANGUAGE MODEL EMBEDDINGS IMPROVE SENTIMENT ANALYSIS IN RUSSIANCode0
Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains—0
A Study of BFLOAT16 for Deep Learning Training—0
Adapting Text Embeddings for Causal InferenceCode1
Rethinking Full Connectivity in Recurrent Neural Networks—0
Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep NetworksCode1
Soft Contextual Data Augmentation for Neural Machine TranslationCode0
Is a Single Vector Enough? Exploring Node Polysemy for Network EmbeddingCode0
mu-Forcing: Training Variational Recurrent Autoencoders for Text GenerationCode0
What Syntactic Structures block Dependencies in RNN Language Models?—0
Discrete Flows: Invertible Generative Models of Discrete DataCode1
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese—0
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs—0
Deeper Text Understanding for IR with Contextual Neural Language ModelingCode0
Enhancing Domain Word Embedding via Latent Semantic ImputationCode0
Sample Efficient Text Summarization Using a Single Pre-Trained TransformerCode0
Enriching Pre-trained Language Model with Entity Information for Relation ClassificationCode0
Adaptive Attention Span in TransformersCode1
Gmail Smart Compose: Real-Time Assisted Writing—0
Adaptively Truncating Backpropagation Through Time to Control Gradient BiasCode0
Story Ending Prediction by Transferable BERTCode0
Continual adaptation for efficient machine communication—0
IMHO Fine-Tuning Improves Claim DetectionCode0
Effective Sentence Scoring Method using Bidirectional Language Model for Speech Recognition—0
Joint Source-Target Self Attention with Locality ConstraintsCode0
A Surprisingly Robust Trick for Winograd Schema ChallengeCode1
Online Normalization for Training Neural NetworksCode0
End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting—0
Is Word Segmentation Necessary for Deep Learning of Chinese Representations?—0
How to Fine-Tune BERT for Text Classification?Code1
Almost Unsupervised Text to Speech and Automatic Speech Recognition—0
Language Modeling with Deep Transformers—0
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding—0
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention -- w/o Data AugmentationCode1
Unified Language Model Pre-training for Natural Language Understanding and GenerationCode0
MASS: Masked Sequence to Sequence Pre-training for Language GenerationCode2
Learning higher-order sequential structure with cloned HMMs—0
Do Language Models Have Common Sense?—0
Generative Question Answering: Learning to Answer the Whole Question—0
Language Modeling with Graph Temporal Convolutional Networks—0
Select Via Proxy: Efficient Data Selection For Training Deep Networks—0
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