Knowledge Representation and Reasoning
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information
Source-Free Implicit Semantic Augmentation for Domain Adaptation
Role-Oriented Network Embedding Method Based on Local Structural Feature and Commonality
Dynamic Refining Knowledge Distillation Based on Attention Mechanism
Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction
Entity Similarity-based Negative Sampling for Knowledge Graph Embedding
Label Enhancement using Inter-Example Correlation Information
Link Prediction via Fused Attribute Features Activation with Graph Convolutional Network
Multi-Subspace Attention Graph Pooling
Embedding for Temporal Knowledge Graph Reasoning
Natural Language Processing
M2FNet: Multi-granularity Feature Fusion Network for Medical Visual Question Answering
Noise-robust Semi-supervised Multi-modal Machine Translation
SETFF: A Semantic Enhanced Table Filling Framework for Joint Entity and Relation Extraction
PEKIN: Prompt-based External Knowledge Integration Network for Rumor Detection on Social Media
Entity-aware Social Media Reading Comprehension
Analysis via Virtual Node Augmented Graph Convolutional Networks
Bidirectional Macro-level Discourse Parser based on Oracle Selection
Evidence-Based Document-Level Event Factuality Identification
Named Entity Recognition Model of Power Equipment Based on Multi-feature Fusion
Improving Abstractive Multi-document Summarization with Predicate-Argument Structure Extraction
A Structure-aware Method for Cross-domain Text Classification
SICM: A Supervised-based Identification and Classification Model for Chinese Jargons Using Feature Adapter Enhanced BERT
HS2N: Heterogeneous Semantics-Syntax Fusion Network for Document-level Event Factuality Identification
Pay Attention to the "Tails" : A Novel Aspect-Fusion Model for Long-Tailed Aspect Category Detection
Choice-driven Contextual Reasoning for Commonsense Question Answering
Implicit Discourse Relation Recognition Based on Multi-granularity Context Fusion Mechanism
Chinese Medical Named Entity Recognition Using External Knowledge
Neural Networks and Deep Learning
Trajectory Prediction With Heterogeneous Graph Neural Network
EEF1-NN: Efficient and EF1 allocations through Neural Networks
Weighted Adaptive Perturbations Adversarial Training for Improving Robustness
Improved Network Pruning via Similarity-Based Regularization
Dynamic-GTN: Learning an Node Efficient Embedding in Dynamic Graph with Transformer
ICDT: Incremental Context Guided Deliberation Transformer for Image Captioning
Semantic-Adversarial Graph Convolutional Network for Zero-shot Cross-modal Retrieval
DAST: Depth-Aware Assessment and Synthesis Transformer for RGB-D Salient Object Detection
A Vehicle Re-ID Algorithm Based on Channel Correlation Self-Attention and Lstm Local Information Loss
A Self-Supervised Graph Autoencoder with Barlow Twins
Few-shot Image Classification Method Based on Fusion of Important Features of Different Scales
Group Residual Dense Block for Key-Point Detector with One-level Feature.