{"title":"A Simple Set of Rules for Characters and Place Recognition in French Novels","authors":"Cyril Bornet, F. Kaplan","doi":"10.3389/fdigh.2017.00006","DOIUrl":null,"url":null,"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.","PeriodicalId":227954,"journal":{"name":"Frontiers Digit. Humanit.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers Digit. Humanit.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fdigh.2017.00006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.