research
∙
09/13/2023
Cognitive Mirage: A Review of Hallucinations in Large Language Models
As large language models continue to develop in the field of AI, text ge...
share
research
∙
05/19/2023
InstructIE: A Chinese Instruction-based Information Extraction Dataset
We introduce a new Information Extraction (IE) task dubbed Instruction-b...
research
∙
05/15/2023
Schema-adaptable Knowledge Graph Construction
Conventional Knowledge Graph Construction (KGC) approaches typically fol...
research
∙
10/23/2022
Generative Knowledge Graph Construction: A Review
Generative Knowledge Graph Construction (KGC) refers to those methods th...
research
∙
01/27/2022
Ontology-enhanced Prompt-tuning for Few-shot Learning
Few-shot Learning (FSL) is aimed to make predictions based on a limited ...
research
∙
01/10/2022
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
We present a new open-source and extensible knowledge extraction toolkit...
research
∙
12/02/2021
LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training
Natural language generation from structured data mainly focuses on surfa...
research
∙
10/01/2021
Learning to Ask for Data-Efficient Event Argument Extraction
Event argument extraction (EAE) is an important task for information ext...
research
∙
06/15/2021
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Artificial Intelligence (AI), along with the recent progress in biomedic...
research
∙
06/03/2021
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba
Conceptual graphs, which is a particular type of Knowledge Graphs, play ...
research
∙
04/11/2021
Disentangled Contrastive Learning for Learning Robust Textual Representations
Although the self-supervised pre-training of transformer models has resu...
research
∙
04/06/2021
Text-guided Legal Knowledge Graph Reasoning
Recent years have witnessed the prosperity of legal artificial intellige...
research
∙
10/30/2020
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction
Current supervised relational triple extraction approaches require huge ...
research
∙
09/14/2020
