Skeleton-based Coherence Modeling in Narratives
📰 ArXiv cs.AI
Researchers propose skeleton-based coherence modeling for narrative texts using neural networks
Action Steps
- Extract skeletons from individual sentences using neural networks
- Use the extracted skeletons to generate coherent narrative stories
- Evaluate the consistency of skeletons across subsections of the narrative
- Apply the coherence model to detect and fix incoherent structures in text
Who Needs to Know This
NLP researchers and AI engineers on a team can benefit from this study to improve text generation and coherence modeling, enabling them to develop more sophisticated language models
Key Insight
💡 Using neural networks to extract and generate skeletons can improve coherence in text generation
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💡 Coherence modeling in narratives with skeleton-based approach
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