Papers with feature embedding

1 papers
How do Language Models Reshape Entity Alignment? A Survey of LM-Driven EA Methods: Advances, Benchmarks, and Future (2025.emnlp-main)

Copied to clipboard

Challenge: Entity alignment (EA) is critical for knowledge graph (KG) integration.
Approach: They propose a taxonomy that categorizes methods in three stages: data preparation, feature embedding, and alignment.
Outcome: The proposed taxonomy categorizes methods in three key stages: data preparation, feature embedding, and alignment.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations