Deep learning of knowledge graph embeddings for semantic parsing of Twitter dialogs
Signal and Information Processing, 2014, Pages 597-601.
learning (artificial intelligence)natural language processingneural netssocial networking (online)DSSM approachMore(15+)
This paper presents a novel method to learn neural knowledge graph embeddings. The embeddings are used to compute semantic relatedness in a coherence-based semantic parser. The approach learns embeddings directly from structured knowledge representations. A deep neural network approach known as Deep Structured Semantic Modeling (DSSM) is ...More
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