Publication
Title
Overview of PAN 2018 : author identification, author profiling, and author obfuscation
Author
Abstract
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.
Language
English
Source (journal)
Lecture notes in computer science. - Berlin, 1973, currens
Source (book)
Experimental IR Meets Multilinguality, Multimodality, and Interaction. 9th International Conference of the CLEF Association, CLEF 2018. Avignon, France, September 10-14 / Bellot, Patrice [edit.]; et al.
Publication
Cham : Springer , 2018
ISBN
978-3-319-98931-0
978-3-319-98932-7
Volume/pages
11018 , p. 267-285
ISI
000550799000025
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
VABB-SHW
Web of Science
Record
Identification
Creation 13.09.2018
Last edited 24.01.2022
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