Papers with generating coherent multi-sentence texts

1 papers
Text Generation from Knowledge Graphs with Graph Transformers (N19-1)

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Challenge: Existing methods for generating text with structured inputs are expensive and require manual annotation.
Approach: They propose a graph transforming encoder which leverages relational structure of knowledge graphs without imposing linearization or hierarchical constraints.
Outcome: The proposed system produces more informative texts than competing methods.

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