自然语言故事的角色分配研究

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Pub Date : 2021-06-30 DOI:10.1609/aiide.v9i4.12625

Josep Valls-Vargas, Santiago Ontañón, Jichen Zhu

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引用次数: 14

摘要

本文提出了一种为故事中的人物自动分配叙事角色的方法。为了实现这一目标，我们建议将自然语言处理技术与从Propp的民间故事形态学中提取的领域知识相结合。我们使用一个矩阵来编码代表角色之间互动的叙事领域知识。

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Toward Character Role Assignment for Natural Language Stories

In this paper we propose a method for automatically assigning narrative roles to characters in stories. To achieve this goal our proposal is to combine natural language processing techniques with domain knowledge extracted from Propp's morphology of the folktale. We use a matrix that encodes the narrative domain knowledge representing the interactions between character roles.

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Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

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