637 citations · 844 across the 17 of their papers we have counts for
5 papers · 1 filter
Neural Entity Summarization with Joint Encoding and Weak Supervision
Junyou Li, Gong Cheng, Qingxia Liu +4
In a large-scale knowledge graph (KG), an entity is often described by a large number of triple-structured facts. Many applications require abridged versions of entity descriptions…
SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases
Yawei Sun, Lingling Zhang, Gong Cheng +1
Semantic parsing transforms a natural language question into a formal query over a knowledge base. Many existing methods rely on syntactic parsing like dependencies. However, the a…
DeepLENS: Deep Learning for Entity Summarization
Qingxia Liu, Gong Cheng, Yuzhong Qu
Entity summarization has been a prominent task over knowledge graphs. While existing methods are mainly unsupervised, we present DeepLENS, a simple yet effective deep learning mode…
ESBM: An Entity Summarization BenchMark
Qingxia Liu, Gong Cheng, Kalpa Gunaratna +1
Entity summarization is the problem of computing an optimal compact summary for an entity by selecting a size-constrained subset of triples from RDF data. Entity summarization supp…
Relaxing Relationship Queries on Graph Data
Shuxin Li, Gong Cheng, Chengkai Li
In many domains we have witnessed the need to search a large entity-relation graph for direct and indirect relationships between a set of entities specified in a query. A search re…