mlsanityData to 7 Oct 2026

An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters

arXiv 2209.00200 ↗First posted 1 Sep 2022cs.CL cs.AIcited by 1

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Abstract (arXiv)

Story ending generation aims at generating reasonable endings for a given story context. Most existing studies in this area focus on generating coherent or diversified story endings, while they ignore that different characters may lead to different endings for a given story. In this paper, we propose a Character-oriented Story Ending Generator (CoSEG) to customize an ending for each character in a story. Specifically, we first propose a character modeling module to learn the personalities of characters from their descriptive experiences extracted from the story context. Then, inspired by the ion exchange mechanism in chemical reactions, we design a novel vector breaking/forming module to learn the intrinsic interactions between each character and the corresponding context through an analogical information exchange procedure. Finally, we leverage the attention mechanism to learn effective character-specific interactions and feed each interaction into a decoder to generate character-orient endings. Extensive experimental results and case studies demonstrate that CoSEG achieves significant improvements in the quality of generated endings compared with state-of-the-art methods, and it effectively customizes the endings for different characters.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 20 of its 34 references that are in the map. First posted on arXiv 1 Sep 2022.

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20 of 34 references.

References · 20

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8 more
  1. 2018Story Ending Generation with Incremental Encoding and Commonsense Knowledgecited by 60
  2. 2019Non-Monotonic Sequential Text Generationcited by 55
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