Knowledge Representation and Knowledge Graph Reasoning
Dynamic Weighted Neural Bellman-Ford Network for Knowledge Graph Reasoning
CausE: Towards Causal Knowledge Graph Embedding
Exploring the Logical Expressiveness of Graph Neural Networks by establishing a connection with C2
Research on Joint Representation Learning Methods for Entity Neighborhood Information and Description Information
Knowledge Acquisition and Knowledge Base Construction
Harvesting Event Schemas from Large Language Models
NTDA: Noise-Tolerant Data Augmentation for Document-Level Event Argument Extraction
Event-Centric Opinion Mining via In-Context Learning with ChatGPT
Relation repository based adaptive clustering for Open Relation Extraction
Knowledge Integration and Knowledge Graph Management
LNFGP: Local Node Fusion-based Graph Partition By Greedy Clustering
Natural Language Understanding and Semantic Computing
Multi-Perspective Frame Element Representation for Machine Reading Comprehension
A Generalized Strategy of Chinese Grammatical Error Diagnosis based on Task Decomposition and Transformation
Conversational Search based on Utterance-Mask-Passage Post-training
Knowledge Graph Applications
Financial Fraud Detection based on Deep Learning: towards Large-scale Pre-Training Transformer Models
GERNS: A Graph Embedding with Repeat-free Neighborhood Structure for Subgraph Matching Optimization
Feature Enhanced Structured Reasoning for Question Answering
Knowledge Graph Open Resources
Conditional Knowledge Graph: Design, Dataset and a Preliminary Model
ODKG: An Official Document Knowledge Graph for the Effective Management
CCD-ASQP: A Chinese Cross-domain Aspect Sentiment Quadruple Prediction Dataset
CCD-ASQP: A Chinese Cross-domain Aspect Sentiment Quadruple Prediction Dataset
Moral Essential Elements: MEE - A Dataset for Moral Judgement
Evaluations
Improving Adaptive Knowledge Graph Construction via Large Language Models with Multiple Views
Single Source Path-based Graph Neural Network for Inductive Knowledge Graph Reasoning
A Graph Learning Based Method for Inductive Knowledge Graph Relation Prediction
LLM-Based Sparql Generation with selected Schema from Large scale Knowledge Base
Robust NL-to-Cypher Translation for KBQA: Harnessing Large Language Model with Chain of Prompts
In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models
A Military Domain Knowledge-based Question Answering Method Based on Large Language Model Enhancement
Advanced PromptCBLUE Performance: A Novel Approach Leveraging Large Language Models.