Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/328659
Type: Artigo
Title: On The Reconstruction Of Text Phylogeny Trees: Evaluation And Analysis Of Textual Relationships
On the reconstruction of text phylogeny trees: evaluation and analysis of textual relationships
Author: Marcerola, Guilherme D.
Oikawa, Marina A.
Dias, Zanoni
Goldenstein, Siome
Rocha, Anderson
Abstract: Over the history of mankind, textual records change. Sometimes due to mistakes during transcription, sometimes on purpose, as a way to rewrite facts and reinterpret history. There are several classical cases, such as the logarithmic tables, and the transmission of antique and medieval scholarship. Today, text documents are largely edited and redistributed on the Web. Articles on news portals and collaborative platforms (such as Wikipedia), source code, posts on social networks, and even scientific publications or literary works are some examples in which textual content can be subject to changes in an evolutionary process. In this scenario, given a set of near-duplicate documents, it is worthwhile to find which one is the original and the history of changes that created the whole set. Such functionality would have immediate applications on news tracking services, detection of plagiarism, textual criticism, and copyright enforcement, for instance. However, this is not an easy task, as textual features pointing to the documents' evolutionary direction may not be evident and are often dataset dependent. Moreover, side information, such as time stamps, are neither always available nor reliable. In this paper, we propose a framework for reliably reconstructing text phylogeny trees, and seamlessly exploring new approaches on a wide range of scenarios of text reusage. We employ and evaluate distinct combinations of dissimilarity measures and reconstruction strategies within the proposed framework, and evaluate each approach with extensive experiments, including a set of artificial near-duplicate documents with known phylogeny, and from documents collected from Wikipedia, whose modifications were made by Internet users. We also present results from qualitative experiments in two different applications: text plagiarism and reconstruction of evolutionary trees for manuscripts (stemmatology).
Over the history of mankind, textual records change. Sometimes due to mistakes during transcription, sometimes on purpose, as a way to rewrite facts and reinterpret history. There are several classical cases, such as the logarithmic tables, and the transm
Subject: Filogenia
Processamento de imagens
Computação forense
Visão por computador
Country: Estados Unidos
Editor: Public Library of Science
Citation: Plos One. Public Library Science, v. 11, p. , 2016.
Rights: aberto
Aberto
Identifier DOI: 10.1371/journal.pone.0167822
Address: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0167822
Date Issue: 2016
Appears in Collections:IC - Artigos e Outros Documentos

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