Overview of PAN 2018 Author Identification, Author Profiling, and Author Obfuscation

被引:12
作者
Stamatatos, Efstathios [1 ]
Rangel, Francisco [2 ,3 ]
Tschuggnall, Michael [4 ]
Stein, Benno [5 ]
Kestemont, Mike [6 ]
Rosso, Paolo [3 ]
Potthast, Martin [7 ]
机构
[1] Univ Aegean, Dept Informat & Commun Syst Engn, Samos, Greece
[2] Autoritas Consulting SA, Valencia, Spain
[3] Univ Politecn Valencia, PRHLT Res Ctr, Valencia, Spain
[4] Univ Innsbruck, Dept Comp Sci, Innsbruck, Austria
[5] Bauhaus Univ Weimar, Web Technol & Informat Syst, Weimar, Germany
[6] Univ Antwerp, Antwerp, Belgium
[7] Univ Leipzig, Leipzig, Germany
来源
EXPERIMENTAL IR MEETS MULTILINGUALITY, MULTIMODALITY, AND INTERACTION (CLEF 2018) | 2018年 / 11018卷
关键词
D O I
10.1007/978-3-319-98932-7_25
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
PAN 2018 explores several authorship analysis tasks enabling a systematic comparison of competitive approaches and advancing research in digital text forensics. More specifically, this edition of PAN introduces a shared task in cross-domain authorship attribution, where texts of known and unknown authorship belong to distinct domains, and another task in style change detection that distinguishes between single-author and multi-author texts. In addition, a shared task in multimodal author profiling examines, for the first time, a combination of information from both texts and images posted by social media users to estimate their gender. Finally, the author obfuscation task studies how a text by a certain author can be paraphrased so that existing author identification tools are confused and cannot recognize the similarity with other texts of the same author. New corpora have been built to support these shared tasks. A relatively large number of software submissions (41 in total) was received and evaluated. Best paradigms are highlighted while baselines indicate the pros and cons of submitted approaches.
引用
收藏
页码:267 / 285
页数:19
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