Deep learning of knowledge graph embeddings for semantic parsing of Twitter dialogs

Signal and Information Processing, 2014, Pages 597-601.

Cited by: 14|Bibtex|Views32|Links
EI WOS
Keywords:
learning (artificial intelligence)natural language processingneural netssocial networking (online)DSSM approachMore(15+)

Abstract:

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

Code:

Data:

Your rating :
0

 

Tags
Comments