Papers with neural storytelling

2 papers
Modeling Protagonist Emotions for Emotion-Aware Storytelling (2020.emnlp-main)

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Challenge: Cognitive scientists have pinpointed the central role of emotions in storytelling.
Approach: They propose to use Emotion Supervision and two Emotion-Reinforced models to generate stories that follow the desired emotion arcs for the protagonist.
Outcome: The proposed models generate stories that follow the desired emotion arcs without sacrificing story quality.
Are Large Language Models Capable of Generating Human-Level Narratives? (2024.emnlp-main)

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Challenge: a recent HCI study has pointed to gaps in machine storytelling ability at the global level . authors show that LLMs have less suspense and less tension than human stories .
Approach: They propose a computational framework to analyze narratives through three discourse-level aspects.
Outcome: The proposed framework analyzes narratives through three discourse-level aspects . it shows that LLMs fall short of human abilities in discourse understanding .

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