Papers with planning-based generation model

2 papers
Automatic Comment Generation for Chinese Student Narrative Essays (2022.emnlp-demos)

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Challenge: Existing studies focus on giving discrete scores for holistic quality or distinct traits, but real-world teachers usually provide detailed comments in natural language, which are more informative than single scores.
Approach: They propose a model which generates comments for specified segments from given student narrative essays using a human-written Chinese dataset.
Outcome: The proposed model outperforms baselines and has 91% success rate.
Persona-Guided Planning for Controlling the Protagonist’s Persona in Story Generation (2022.naacl-main)

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Challenge: Existing methods to control the protagonist's persona in story generation are implicitly and sparsely embodied in stories, so we propose a planning-based generation model called ConPer to explicitly model the relationship between personas and events.
Approach: They propose a model to control the protagonist's persona in story generation by predicting one target sentence and planning the plot as a sequence of keywords with the guidance of the predicted persona-related events and commonsense knowledge.
Outcome: The proposed model outperforms state-of-the-art models for generating more coherent and persona-controllable stories.

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