Search Results for author:
Found 5 papers, 2 papers with code
Neural Entity Summarization with Joint Encoding and Weak Supervision
In a large-scale knowledge graph (KG), an entity is often described by a large number of triple-structured facts.
DeepLENS: Deep Learning for Entity Summarization
Entity summarization has been a prominent task over knowledge graphs.
ESBM: An Entity Summarization BenchMark
In this paper, we create an Entity Summarization BenchMark (ESBM) which overcomes the limitations of existing benchmarks and meets standard desiderata for a benchmark.
Entity Summarization: State of the Art and Future Challenges
This has motivated fruitful research on automated generation of summaries for entity descriptions to satisfy users' information needs efficiently and effectively.
Graph-based Ontology Summarization: A Survey
Ontologies have been widely used in numerous and varied applications, e. g., to support data modeling, information integration, and knowledge management.
Information Retrieval
