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Language Modeling

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Showing 12801–12850 of 14182 papers

TitleStatusHype
Neural GRANNy at SemEval-2019 Task 2: A combined approach for better modeling of semantic relationships in semantic frame induction—0
SEQ\^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence CompressionCode0
nlpUP at SemEval-2019 Task 6: A Deep Neural Language Model for Offensive Language Detection—0
Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines—0
UNBNLP at SemEval-2019 Task 5 and 6: Using Language Models to Detect Hate Speech and Offensive Language—0
Noisy Neural Language Modeling for Typing Prediction in BCI Communication—0
What a neural language model tells us about spatial relationsCode0
MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit—0
Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples—0
Rethinking Complex Neural Network Architectures for Document ClassificationCode0
Similar Minds Post Alike: Assessment of Suicide Risk Using a Hybrid Model—0
Speak up, Fight Back! Detection of Social Media Disclosures of Sexual Harassment—0
Serial Recall Effects in Neural Language Modeling—0
Table2Vec: Neural Word and Entity Embeddings for Table Population and RetrievalCode0
Lattice-based lightly-supervised acoustic model training—0
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
LANGUAGE MODEL EMBEDDINGS IMPROVE SENTIMENT ANALYSIS IN RUSSIANCode0
A Study of BFLOAT16 for Deep Learning Training—0
Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains—0
Rethinking Full Connectivity in Recurrent Neural Networks—0
Soft Contextual Data Augmentation for Neural Machine TranslationCode0
Is a Single Vector Enough? Exploring Node Polysemy for Network EmbeddingCode0
What Syntactic Structures block Dependencies in RNN Language Models?—0
mu-Forcing: Training Variational Recurrent Autoencoders for Text GenerationCode0
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs—0
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese—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
Adaptively Truncating Backpropagation Through Time to Control Gradient BiasCode0
Gmail Smart Compose: Real-Time Assisted Writing—0
Story Ending Prediction by Transferable BERTCode0
Effective Sentence Scoring Method using Bidirectional Language Model for Speech Recognition—0
Joint Source-Target Self Attention with Locality ConstraintsCode0
Continual adaptation for efficient machine communication—0
IMHO Fine-Tuning Improves Claim DetectionCode0
Online Normalization for Training Neural NetworksCode0
Is Word Segmentation Necessary for Deep Learning of Chinese Representations?—0
End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting—0
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
Unified Language Model Pre-training for Natural Language Understanding and GenerationCode0
Partially Mutual Exclusive Softmax for Positive and Unlabeled data—0
Select Via Proxy: Efficient Data Selection For Training Deep Networks—0
Transformer-XL: Language Modeling with Longer-Term Dependency—0
Generative Question Answering: Learning to Answer the Whole Question—0
Language Modeling with Graph Temporal Convolutional Networks—0
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