PNPT: Prototypical Network with Prompt Template for Few-Shot Relation Extraction

Liping Li; Yexuan Zhang; Jiajun Zou; Yongfeng Huang

doi:10.1007/978-981-99-7596-9_12

ScienceGate Book Chapters

BOOK-CHAPTER

PNPT: Prototypical Network with Prompt Template for Few-Shot Relation Extraction

Liping Li Yexuan Zhang Jiajun Zou Yongfeng Huang

Year: 2023 Communications in computer and information science Pages: 161-173 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-7596-9_12

Get Full-Text PDF Get Analytical Report

Keywords:

Relation (database) Computer science Relationship extraction Sentence Representation (politics) Task (project management) Benchmark (surveying) Context (archaeology) Natural language processing Artificial intelligence Semantic relation Shot (pellet) Data mining

Metrics

Cited By

0.65

FWCI (Field Weighted Citation Impact)

Refs

0.71

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

PNPT: Prototypical Network with Prompt Template for Few-Shot Relation Extraction

Metrics

Citation History

Topics

Related Documents

Enhanced prototypical network for few-shot relation extraction

Taxonomy-Aware Prototypical Network for Few-Shot Relation Extraction

DiffFSRE: Diffusion-Enhanced Prototypical Network for Few-Shot Relation Extraction

An Adaptive Hybrid Prototypical Network for Interactive Few-Shot Relation Extraction

Better Few-Shot Relation Extraction with Label Prompt Dropout