Knowledge Tree
Relations (1)
related 2.00 — strongly supporting 3 facts
Knowledge graphs and entity linking are fundamentally connected as entity linking is a core process for mapping text to knowledge graphs [1], and their integration is essential for enhancing language models through joint training [2]. Furthermore, the consistency of entity linking is a critical challenge when fusing these symbolic structures with large language models [3].
Facts (3)
Sources
Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org 1 fact
claimEntity linking in knowledge graphs is performed using various methods, including dictionary-based approaches relying on gathered synonyms in AI-KG, human interaction in XI, or entity resolution in HKGB.
Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org 1 fact
claimThe fusion of large language models (LLMs) and knowledge graphs (KGs) encounters representational conflicts between the implicit statistical patterns of LLMs and the explicit symbolic structures of KGs, which disrupts entity linking consistency.
Large Language Models Meet Knowledge Graphs for Question ... arxiv.org 1 fact
referenceKnowledge integration and fusion enhance language models by aligning knowledge graphs and text via local subgraph extraction and entity linking, then feeding the aligned data into a cross-model encoder to bidirectionally fuse text and knowledge graphs for joint training.