distant supervision ↔ Knowledge Graph

Relations (1)

related 2.00 — strongly supporting 3 facts

Distant supervision is a primary method used to populate or train models based on a Knowledge Graph [1], though it is often limited by the static nature of the Knowledge Graph [2] and the reliance on its existing entities and relations for annotation [3].

Facts (3)

Sources

Combining large language models with enterprise knowledge graphs frontiersin.org Frontiers 2 facts

claimKnowledge Graph Embedding (KGE) relying solely on Distant Supervision (DS) is inadequate for predicting new types because weak annotations are limited to existing Knowledge Graph entities and relations.

claimDistant Supervision (DS) principles struggle to accommodate the evolving nature of knowledge in free texts because text annotation is based on a static, pre-existing Knowledge Graph.

Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org arXiv 1 fact

procedureDistant supervision is a common method for link prediction that involves linking knowledge graph entities to a text corpus using NLP approaches and identifying patterns between those entities within the text.