Papers with prototypical knowledge graph embedding model

1 papers
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction (2020.acl-main)

Copied to clipboard

Challenge: Existing methods for predicting knowledge graphs rely on the rich structure of the knowledge graph.
Approach: They propose an evaluation protocol and a methodology for creating the open link prediction benchmark OlpBench.
Outcome: The proposed model predicts test facts by completing questions in open link prediction task.

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