A Simple Set of Rules for Characters and Place Recognition in French Novels

Cyril Bornet, F. Kaplan
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引用次数: 14

Abstract

This article describes a simple system for automatically extracting and classifying named entities in French novels. The solution presented combines a set of different standalone classifiers within a meta-recognition system. The system is tested on 35 classic French novels, representing 5 million words and 3 700 names of people and places. The results demonstrate that although none of the standalone methods clearly outperform the others, their combined classification offers a robust solution in this context.
法语小说中人物与地点识别的简单规则
本文描述了一个简单的法语小说命名实体自动提取与分类系统。提出的解决方案在元识别系统中结合了一组不同的独立分类器。该系统测试了35本法国经典小说,涉及500万字和3700个人名和地名。结果表明,尽管没有一种单独的方法明显优于其他方法,但它们的组合分类在这种情况下提供了一个健壮的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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