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An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters (2209.00200v1)

Published 1 Sep 2022 in cs.CL and cs.AI

Abstract: 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.

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Authors (6)
  1. Xinyu Jiang (17 papers)
  2. Qi Zhang (785 papers)
  3. Chongyang Shi (26 papers)
  4. Kaiying Jiang (1 paper)
  5. Liang Hu (64 papers)
  6. Shoujin Wang (40 papers)
Citations (1)

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