Summary of Contextualization Distillation From Large Language Model For Knowledge Graph Completion, by Dawei Li et al.
Contextualization Distillation from Large Language Model for Knowledge Graph Completion
by Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu
First submitted to arxiv on: 28 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces a novel approach called Contextualization Distillation to improve the performance of pre-trained language models in knowledge graph completion tasks. The authors demonstrate that traditional corpora used to train these models are often noisy and limited, hindering their potential. To overcome this challenge, they propose a plug-and-play method that transforms compact triplets into context-rich segments using large language models. This enriched data is then distilled to smaller KGC models through two tailored auxiliary tasks: reconstruction and contextualization. The authors showcase the effectiveness of this approach across various datasets and techniques, highlighting consistent performance enhancements. Additionally, their analysis provides insight into generating path selection and choosing suitable distillation tasks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps improve how computers understand information from websites and dictionaries. It’s like a special training program for computer models that want to learn more about things. Right now, these models are only good at understanding simple text, but they can be much better with some extra help. The new approach makes the data more useful by adding context and then helps smaller models understand this new information. This makes it easier for computers to find answers to questions and get better results. |
Keywords
» Artificial intelligence » Distillation » Knowledge graph
