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: SIGIR (2019)
Keyphrases
- kl divergence
- kullback leibler divergence
- mahalanobis distance
- plain text
- information theoretic
- natural language
- gaussian mixture
- rdf triples
- gaussian distribution
- information retrieval
- posterior distribution
- free text
- context sensitive
- text mining
- semantic representation
- text documents
- translation model
- machine learning
- probability density
- exponential family