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Text Generation from Knowledge Graphs with Graph Transformers
[article]
2022
arXiv
pre-print
Generating texts which express complex ideas spanning multiple sentences requires a structured representation of their content (document plan), but these representations are prohibitively expensive to manually produce. In this work, we address the problem of generating coherent multi-sentence texts from the output of an information extraction system, and in particular a knowledge graph. Graphical knowledge representations are ubiquitous in computing, but pose a significant challenge for text
arXiv:1904.02342v3
fatcat:bfxvrisn3bf3vksfvm6hnpgkx4