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Automatic authorship attribution

E. Stamatatos, N. Fakotakis, G. Kokkinakis
1999 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics -   unpublished
In this paper we present an approach to automatic authorship attribution dealing with real-world (or unrestricted) text.  ...  Conclusions We presented an approach to automatic authorship attribution of real-world texts. A computational tool was used for the automatic extraction of the style markers.  ...  Introduction The vast majority of the attempts to computerassisted authorship attribution has been focused on literary texts.  ... 
doi:10.3115/977035.977057 fatcat:6dgmj4knq5hnxnk6p5nxmxyrtm

Reducing Vector Space Dimensionality in Automatic Classification for Authorship Attribution

Antonio Rico-Sulayes
RIELAC   unpublished
attribution.  ...  For the specific context of authorship attribution, a number of features traditionally used, such as n-grams or word sequences, can produce long lists of distinctive features, a great majority of which  ...  As an automatic classification problem, authorship attribution has two main stages.  ... 
fatcat:k4lmqk3va5edviz46ztxffshzu

RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation [article]

Zhen Li, Guenevere Chen, Chen Chen, Yayi Zou, Shouhuai Xu
2022 pre-print
This calls for robust solutions to the problem of code authorship attribution. In this paper, we initiate the study on making Deep Learning (DL)-based code authorship attribution robust.  ...  Source code authorship attribution is an important problem often encountered in applications such as software forensics, bug fixing, and software quality analysis.  ...  In contrast, attacks presented in the literature are manual [42] , semi-automatic [35] , or automatic but not applicable to DLbased code authorship attribution [34] .  ... 
doi:10.1145/3510003.3510181 arXiv:2202.06043v1 fatcat:mt6xbenmazb7rpoxnf3fbcrxnq

A semi-automatic authorship attribution technique applied to real forensic cases involving Judgments in Spanish

Sheila Queralt Estevez, M Teresa, Turell Julià
unpublished
Recent studies in forensic authorship attribution report on newly developed techniques, although it seems that, in this quest for valid and reliable identiï¿¿cation markers, syntactic structure has shown  ...  This paper presents a series of experiments in forensic authorship, whose aim is to evaluate the discriminatory potential of sequences of linguistic categories (POS n-grams) by using real forensic legal  ...  Introduction Language reects a series of linguistic traits that can be used in authorship attribution contexts.  ... 
fatcat:c5ufdqgsirakpbpqucpguurojm

'twazn me!!! ;(' Automatic Authorship Analysis of Micro-Blogging Messages [chapter]

Rui Sousa Silva, Gustavo Laboreiro, Luís Sarmento, Tim Grant, Eugénio Oliveira, Belinda Maia
2011 Lecture Notes in Computer Science  
In this paper we propose a set of stylistic markers for automatically attributing authorship to micro-blogging messages.  ...  Results show a relatively good-performance in attributing authorship of micro-blogging messages (F = 0.63) using this set of features, even when training the classifiers with as few as 60 examples from  ...  The relevance and effectiveness of these features for automatic authorship attribution are now demonstrated for the first time.  ... 
doi:10.1007/978-3-642-22327-3_16 fatcat:znnijiqtjffrjembgph5b4cdaq

Classification of authors for an automatic recommendation process for criminal responsibility

Amelec Viloria, Omar Bonerge Pineda Lezama, Eduardo Chang
2020 Procedia Computer Science  
Authorship attribution is a task that assigns an anonymous text to a subject on a list of possible authors, has been widely addressed as an automatic text classification task.  ...  Authorship attribution is a task that assigns an anonymous text to a subject on a list of possible authors, has been widely addressed as an automatic text classification task.  ...  As a problem of automatic text classification, authorship attribution uses two primary elements.  ... 
doi:10.1016/j.procs.2020.07.098 fatcat:6nuxtnxv3rdgpj2fbjxgbdsxjm

Attribution and Publication Principles for N3C (National Covid Cohort Collaborative) [article]

N3C Consortium
2021 Zenodo  
Attribution Guidelines: The N3C community is dedicated to the goal of collaboration and rapid knowledge generation and dissemination to help combat COVID-19.  ...  Here, we define publication and attribution principles that apply to N3C analysis reports, data, resources, abstracts, presentations, preprints, and publications arising from the use of content in N3C  ...  Authorship criteria: Contribution to the N3C Data Enclave does not provide automatic authorship on a data user's manuscript.  ... 
doi:10.5281/zenodo.4741279 fatcat:ae4zn2jiyja3rcmid5i3iekhuy

Authorship Attribution in Portuguese Using Character N-grams

2017 Acta Polytechnica Hungarica  
Automatic authorship attribution  ...  authorship attribution.  ...  authorship attribution.  ... 
doi:10.12700/aph.14.3.2017.3.4 fatcat:qx6qbsyu5jeihczmhwhq33hrnq

Authorship Attribution for Forensic Investigation with Thousands of Authors [chapter]

Min Yang, Kam-Pui Chow
2014 IFIP Advances in Information and Communication Technology  
Consequently, automatic authorship attribution of online messages becomes increasingly crucial for forensic investigation.  ...  Although researchers have got many achievements, the accuracies of authorship attribution with tens or thousands of candidate are still relatively poor which is generally among 20%~40%, and cannot be used  ...  Stamatatos details most of the existing techniques for automatic authorship attribution in [21] .  ... 
doi:10.1007/978-3-642-55415-5_28 fatcat:ywfgbqmj2vhfpmv3mwvygswxje

A Web-Based Self-training Approach for Authorship Attribution [chapter]

Rafael Guzmán-Cabrera, Manuel Montes-y-Gómez, Paolo Rosso, Luis Villaseñor-Pineda
2008 Lecture Notes in Computer Science  
As any other text categorization task, authorship attribution requires a large number of training examples.  ...  The method considers the automatic extraction of the unlabeled examples from the Web and its iterative integration into the training data set.  ...  Authorship Attribution Authorship attribution is the task of identifying the author of a given text.  ... 
doi:10.1007/978-3-540-85287-2_16 fatcat:3itx2c2rd5gaxera23kstd2q5u

Automatic Authorship Detection Using Textual Patterns Extracted from Integrated Syntactic Graphs

Helena Gómez-Adorno, Grigori Sidorov, David Pinto, Darnes Vilariño, Alexander Gelbukh
2016 Sensors  
Our results show that our textual patterns are useful for the task of authorship attribution.  ...  We apply the integrated syntactic graph feature extraction methodology to the task of automatic authorship detection.  ...  In this paper, we show this on the example of automatic authorship attribution and verification.  ... 
doi:10.3390/s16091374 pmid:27589740 pmcid:PMC5038652 fatcat:ieymx7ngzzacbbodluf7bt6poe

Shallow Text Analysis and Machine Learning for Authorship Attribtion

Kim Luyckx, Walter Daelemans
2004 Computational Linguistics in the Netherlands  
These style characteristics are not under the author's conscious control and therefore good clues for Authorship Attribution.  ...  Current advances in shallow parsing and machine learning allow us to use results from these fields in a methodology for Authorship Attribution.  ...  Introduction We define Authorship Attribution as the automatic identification of the author of a text on the basis of linguistic features of the text.  ... 
dblp:conf/clin/LuyckxD04 fatcat:luhkcqok2vgdlos5twsgxwg6dq

Attribution and Publication Principles for N3C (National Covid Cohort Collaborative) [article]

N3C Consortium
2020 Zenodo  
Attribution Guidelines: The N3C community is dedicated to the goal of collaboration and rapid knowledge generation and dissemination to help combat COVID-19.  ...  Here, we define publication and attribution principles that apply to N3C analysis reports, data, resources, abstracts, presentations, preprints, and publications arising from the use of content in N3C  ...  Authorship criteria: Data contribution does not provide automatic authorship on the data user's manuscript. Authors are encouraged to follow the ICJME standards.  ... 
doi:10.5281/zenodo.3992395 fatcat:wq5yi3mh7nfwbog42qyqcm6qra

Overview of the International Authorship Identification Competition at PAN-2011

Shlomo Argamon, Patrick Juola
2011 Conference and Labs of the Evaluation Forum  
The two variations of authorship identification that were explored were authorship attribution, determining which of a known set of authors wrote a text, and authorship verification, determining if a specific  ...  This paper gives an overview of the evaluation methodology applied to authorship identification solutions as part of PAN 2011.  ...  Indeed, accurate automatic authorship attribution of anonymous documents is of increasing importance for many applications, including homeland security, criminal and civil law, computer forensics, and  ... 
dblp:conf/clef/ArgamonJ11 fatcat:ekc6od3trnakxecztlhhbwzfo4

Authorship Attribution

Patrick Juola
2007 Foundations and Trends in Information Retrieval  
Section 6 goes on to present some results in empirical evaluation and comparative testing of authorship attribution methods, focusing mainly on the results from the 2004 Ad-hoc Authorship Attribution Competition  ...  But recent developments of improved statistical techniques in conjunction with the wider availability of computer-accessible corpora have made the automatic and objective inference of authorship a practical  ... 
doi:10.1561/1500000005 fatcat:eetb3357jjepfg2qk62ltrhccq
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