Transformer-Based Neural Text Generation with Syntactic Guidance

5 Oct 2020 Yinghao Li Rui Feng Isaac Rehg Chao Zhang

We study the problem of using (partial) constituency parse trees as syntactic guidance for controlled text generation. Existing approaches to this problem use recurrent structures, which not only suffer from the long-term dependency problem but also falls short in modeling the tree structure of the syntactic guidance... (read more)

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