A Simple Set of Rules for Characters and Place Recognition in French Novels
نویسندگان
چکیده
This article describes a simple unsupervised system for automatic extraction and classification of 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 outperforms the others, their combined classification offers a robust solution in this context.
منابع مشابه
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ورودعنوان ژورنال:
- Front. Digital Humanities
دوره 2017 شماره
صفحات -
تاریخ انتشار 2017