Papers with top-performing methods

1 papers
Enhancing Lexical Relation Mining with Structured Sememe Knowledge (2026.acl-long)

Copied to clipboard

Challenge: Existing top-performing methods for Lexical Relation Mining rely on pre-trained language models yet fail to distinguish nuanced lexical relations.
Approach: They propose a framework to leverage structured sememe knowledge to enhance LRC and LE.
Outcome: The proposed method outperforms existing methods on benchmarks and outperformed the LLMs.

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