Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics. (arXiv:2210.10618v1 [cs.CL])

Story generation aims to generate a long narrative conditioned on a given
input. In spite of the success of prior works with the application of
pre-trained models, current neural models for Chinese stories still struggle to
generate high-quality long text narratives. We hypothesise that this stems from
ambiguity in syntactically parsing the Chinese language, which does not have
explicit delimiters for word segmentation. Consequently, neural models suffer
from the inefficient capturing of features in Chinese narratives. In this
paper, we …

arxiv dependencies semantics