Cross-Genre Authorship Verification Using Unmasking
نویسندگان
چکیده
منابع مشابه
Cross-Genre Authorship Verification Using Unmasking
This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date...
متن کاملA Machine Learning-based Intrinsic Method for Cross-topic and Cross-genre Authorship Verification
This paper presents our approach for the Author Identification task in the PAN CLEF Challenge 2015. We identified the challenges of this year’s are the limited amount of training data and the problems in the sub-corpora are independent in terms of topic and genre. We adopted a machine learning based intrinsic method to verify whether a pair of documents have been written by same or different au...
متن کاملDistractorless Authorship Verification
Authorship verification is the task of, given a document and a candidate author, determining whether or not the document was written by the candidate author. Traditional approaches to authorship verification have revolved around a “candidate author vs. everything else” approach. Thus, perhaps the most important aspect of performing authorship verification on a document is the development of an ...
متن کاملOverview of PAN'16 - New Challenges for Authorship Analysis: Cross-Genre Profiling, Clustering, Diarization, and Obfuscation
This paper presents an overview of the PAN/CLEF evaluation lab. During the last decade, PAN has been established as the main forum of digital text forensic research. PAN 2016 comprises three shared tasks: (i) author identification, addressing author clustering and diarization (or intrinsic plagiarism detection); (ii) author profiling, addressing age and gender prediction from a crossgenre persp...
متن کاملText Categorization for Authorship Verification
Abstract. One common version of the authorship attribution problem is that of authorship verification. We need to determine whether a given author, for whom we have a corpus of writing samples, is also the author of a given anonymous text. The set of alternate candidates is not limited to a given finite closed set. In this paper we show how usual text categorization methods can be adapted to so...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: English Studies
سال: 2012
ISSN: 0013-838X,1744-4217
DOI: 10.1080/0013838x.2012.668793