Table of Content
| Part | Description |
|---|---|
| Part Opening | Building Knowledge Engines. 📖 Chapter 1 Introduction |
| Part I Structure 🧱 | Structure – The Foundation of Knowledge Engines. 📖 Introduction to Structure 📖 Chapter 2 Language Modelling Completes Knowledge Graph Structures 📖 Chapter 3 Uncovering Interpretable Structures in Pretrained Language Models 📖 Summary on Structure |
| Part II DeStructure 🌀 | DeStructure – Addressing the Limits of Rigid Knowledge. 📖 Introduction to Destructure 📖 Chapter 4 Inductive Knowledge Graph Learning with Active Forgetting 📖 Chapter 5 Improving Language Plasticity via Pretraining with Active Forgetting 📖 Summary of Destructure |
| Part Closing | Toward General Knowledge Engines. 📖 Chapter 6 Conclusions 📖 Chapter 7 Future Work |
A full copy of the thesis can be downloaded with the following options
- UCL Discovery
- Arxiv coming soon!
- Yihong's personal website
Bibtex
@phdthesis{chen2025structure,
title={Structure and Destructure: Dual Forces in the Making of Knowledge Engines},
author={Chen, Yihong},
url={https://discovery.ucl.ac.uk/id/eprint/10211291/},
year={2025},
school={University College London}
}