Seifeddine Mechti, Maryam Elamine, Lamia Hadrich Belguith, R. Faiz
{"title":"Hybrid Method for Multilingual Automatic Grouping of Writing Styles","authors":"Seifeddine Mechti, Maryam Elamine, Lamia Hadrich Belguith, R. Faiz","doi":"10.1109/AICCSA.2017.146","DOIUrl":null,"url":null,"abstract":"In this paper, we tackle the task of automatic grouping of writing styles, also called author clustering. This task deals with identifying authorship links and single-authored groups of documents [3]. This task is very important for other domains like plagiarism detection and author diarization. In this paper, we present a hybrid method that combines lexical and syntactic features for multilingual automatic grouping of writing style. The proposed method has been evaluated on two publicly available corpora. The obtained results outperform the ones obtained by the best state-of-the-art methods.","PeriodicalId":197301,"journal":{"name":"2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICCSA.2017.146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we tackle the task of automatic grouping of writing styles, also called author clustering. This task deals with identifying authorship links and single-authored groups of documents [3]. This task is very important for other domains like plagiarism detection and author diarization. In this paper, we present a hybrid method that combines lexical and syntactic features for multilingual automatic grouping of writing style. The proposed method has been evaluated on two publicly available corpora. The obtained results outperform the ones obtained by the best state-of-the-art methods.