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Language Modeling

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Showing 12001–12050 of 14182 papers

TitleStatusHype
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding—0
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text—0
Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approaches—0
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds—0
A Novel Joint Framework for Multiple Chinese Events Extraction—0
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-trainingCode0
Entity Relative Position Representation based Multi-head Selection for Joint Entity and Relation Extraction—0
Low-Resource Text Classification via Cross-lingual Language Model Fine-tuning—0
Unsupervised Melody Segmentation Based on a Nested Pitman-Yor Language Model—0
WAE_RN: Integrating Wasserstein Autoencoder and Relational Network for Text Sequence—0
Multi-Reward based Reinforcement Learning for Neural Machine Translation—0
The design and implementation of Language Learning Chatbot with XAI using Ontology and Transfer Learning—0
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text—0
Improving Low Compute Language Modeling with In-Domain Embedding InitialisationCode0
Deep Transformers with Latent DepthCode0
VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation—0
Multi-timescale Representation Learning in LSTM Language Models—0
Inductive Graph Embeddings through Locality Encodings—0
RecoBERT: A Catalog Language Model for Text-Based Recommendations—0
Toward a Thermodynamics of MeaningCode0
AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and GenerationCode0
WESSA at SemEval-2020 Task 9: Code-Mixed Sentiment Analysis using Transformers—0
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition—0
COMET: A Neural Framework for MT Evaluation—0
Hierarchical GPT with Congruent Transformers for Multi-Sentence Language Models—0
DSC IIT-ISM at SemEval-2020 Task 6: Boosting BERT with Dependencies for Definition ExtractionCode0
GraphCodeBERT: Pre-training Code Representations with Data Flow—0
Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related ApproachesCode0
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule—0
Retrofitting Structure-aware Transformer Language Model for End Tasks—0
MLMLM: Link Prediction with Mean Likelihood Masked Language Model—0
DeNERT-KG: Named Entity and Relation Extraction Model Using DQN, Knowledge Graph, and BERT—0
Differentially Private Language Models Benefit from Public Pre-training—0
Dialogue-adaptive Language Model Pre-training From Quality EstimationCode0
RadLex Normalization in Radiology Reports—0
Comparative Study of Language Models on Cross-Domain Data with Model Agnostic Explainability—0
kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification—0
ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model—0
Brown University at TREC Deep Learning 2019—0
Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling—0
Improving Language Generation with Sentence Coherence ObjectiveCode0
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce—0
Generative Language Modeling for Automated Theorem Proving—0
QiaoNing at SemEval-2020 Task 4: Commonsense Validation and Explanation system based on ensemble of language model—0
Bio-inspired Structure Identification in Language Embeddings—0
Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models—0
An exploratory study of L1-specific non-words—0
A Study on Contextualized Language Modeling for FAQ Retrieval—0
Exploring Disparate Language Model Combination Strategies for Mandarin-English Code-Switching ASR—0
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequencesCode0
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