A planning-based hierarchical variational model that generates sentence-level content plans and then realizes each sentence with hierarchical latent variables beats prior data-to-text systems on coverage, coherence, and diversity.
In Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 21-26 July, 2004, Barcelona, Spain., pages 79–86
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Long and Diverse Text Generation with Planning-based Hierarchical Variational Model
A planning-based hierarchical variational model that generates sentence-level content plans and then realizes each sentence with hierarchical latent variables beats prior data-to-text systems on coverage, coherence, and diversity.