A Joint Training Framework for Open-World Knowledge Graph Embeddings

no code implementations • AKBC 2021 • Karthik V, Beethika Tripathi, Mitesh M Khapra, Balaraman Ravindran

However, we find that existing approaches suffer from one or more of four drawbacks – 1) They are not modular with respect to the choice of the KG embedding model 2) They ignore best practices for aligning two embedding spaces 3) They do not account for differences in training strategy needed when presented with datasets with different description sizes and 4) They do not produce entity embeddings for use by downstream tasks.

Dialogue Generation Entity Embeddings +4