-
Chapter and Conference Paper
Measuring Semantic Relatedness with Knowledge Association Network
Measuring semantic relatedness between two words is a fundamental task for many applications in both databases and natural language processing domains. Conventional methods mainly utilize the latent semantic info...
-
Chapter and Conference Paper
SAEA: Self-Attentive Heterogeneous Sequence Learning Model for Entity Alignment
We consider the problem of entity alignment in knowledge graphs. Previous works mainly focus on two aspects: One is to improve the TransE-based models which mostly only consider triple-level structural informa...
-
Chapter and Conference Paper
Multi-modal Chorus Recognition for Improving Song Search
We discuss a novel task, Chorus Recognition, which could potentially benefit downstream tasks such as song search and music summarization. Different from the existing tasks such as music summarization or lyric...
-
Chapter and Conference Paper
HyperJOIE: Two-View Hyperbolic Knowledge Graph Embedding with Entities and Concepts Jointly
Knowledge graphs have two views: an entity graph in the instance view and a concept graph in the ontology view. Recent studies reveal that modeling the two graphs jointly can benefit the understanding to eithe...