Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence.
Yaoming ZhuJuncheng WanZhiming ZhouLiheng ChenLin QiuWeinan ZhangXin JiangYong YuPublished in: CoRR (2019)
Keyphrases
- kl divergence
- plain text
- kullback leibler divergence
- mahalanobis distance
- natural language
- information theoretic
- rdf triples
- gaussian distribution
- keywords
- gaussian mixture
- posterior distribution
- information retrieval
- exponential family
- semantic web
- context sensitive
- free text
- information retrieval systems
- text mining
- test collection
- semantic information
- probability density
- latent semantic analysis
- rdf data
- mutual information
- co occurrence
- digital libraries
- web pages