Introduction to PromptKG Project
PromptKG is a comprehensive initiative dedicated to advancing research and development at the intersection of prompt learning and knowledge graphs (KGs). With a diverse array of resources, the project provides a robust platform for scholars, developers, and enthusiasts alike to explore state-of-the-art methodologies and tools in this rapidly evolving field.
Project Overview
The PromptKG project stands out with its well-structured compilation of research works, practical toolkits, and an extensive list of related academic papers. It seeks to integrate the latest advancements in prompt learning techniques with the burgeoning domain of knowledge graphs to foster innovation and discovery.
Key Components
-
Research Initiatives: This section showcases implementations of advanced research models that delve into prompt learning. These models explore new paradigms and optimization techniques, offering valuable insights for further academic investigation and practical application.
-
lambdaKG: A specialized library designed for creating embeddings and applications of knowledge graphs using pre-trained language models (PLMs). This component aids in improving the representation and utility of KGs, facilitating their integration into various applications.
-
deltaKG: This library allows for the dynamic editing of PLM-based knowledge graph embeddings. It provides tools to modify and optimize these embeddings in real-time, addressing the ever-changing landscape of information and data.
-
Tutorial Notebooks: Dedicated to beginners, these tutorial notebooks offer a gentle introduction to the fundamentals of prompt learning and KG technologies. They provide step-by-step guidance to help users gain practical skills and a deeper understanding of the subject matter.
Educational Resources
Tutorials
PromptKG offers a series of tutorials aimed at enhancing knowledge about zero- and few-shot natural language processing (NLP) using PLMs, as well as constructing data-efficient knowledge graphs. These resources are invaluable for newcomers and seasoned professionals seeking to refine their expertise and stay updated with current trends.
Surveys
The project provides comprehensive survey papers covering a wide range of topics, from parameter-efficient methods for PLMs to unifying large language models with knowledge graphs. These surveys serve as critical references for both academic research and industrial applications.
Academic Papers
PromptKG curates an extensive list of academic papers that delve into various aspects of prompt learning and knowledge graphs. This includes:
- Language Understanding: Papers covering methods like retrieval-augmented generation and few-shot learning enhancements.
- Multimodal Applications: Works that explore the integration of visual and textual data for improved extraction and understanding.
- Advanced Tasks: Research on recommendation systems, conversational interfaces, and low-resource learning methodologies.
Contact Information
For any assistance or to address issues related to PromptKG toolkits, the project encourages users to submit their queries through GitHub issues. This transparent and collaborative approach ensures that the community can actively contribute to and benefit from the ongoing development of PromptKG.
In summary, PromptKG serves as a beacon for researchers and developers interested in the confluence of prompt learning and knowledge graphs, offering a wealth of resources and a vibrant community to support their endeavors.