A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Authorship Attribution Using Text Distortion
2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
Preserved Fulltext
In this paper, we present a novel method that enhances authorship attribution effectiveness by introducing a text distortion step before extracting stylometric measures. ...
Based on experiments on two main tasks in authorship attribution, closed-set attribution and authorship verification, we demonstrate that the proposed approach can enhance existing methods especially under ...
We are going to examine the following three cases: • Baseline: original input texts are used (no text distortion). • DV-MA: the input texts are distorted using the Algorithm 1. • DV-SA: the input texts ...
doi:10.18653/v1/e17-1107
dblp:conf/eacl/Stamatatos17
fatcat:wwbnsijdtjch5ickkct55zbequ
EACH-USP Ensemble Cross-domain Authorship Attribution: Notebook for PAN at CLEF 2018
2018
Conference and Labs of the Evaluation Forum
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
We present an ensemble approach to cross-domain authorship attribution that combines predictions made by three independent classifiers, namely, standard char n-grams, char n-grams with non-diacritic distortion ...
Results generally outperform the PAN-CLEF 2018 baseline system that makes use of fixed-length char n-grams and linear SVM classification. ...
At PAN-CLEF 2018, a cross-domain authorship attribution task applied to fan fiction text has been proposed. ...
dblp:conf/clef/CustodioP18
fatcat:vmxzltyxgjfvjndoeygz4f72aa
Overview of the Cross-domain Authorship Attribution Task at PAN 2019
2019
Conference and Labs of the Evaluation Forum
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In this edition of PAN, we focus on authorship attribution, where the task is to attribute an unknown text to a previously seen candidate author. ...
Cross-Domain Authorship Attribution Authorship attribution [1,2,3] continues to be an important problem in information retrieval and computational linguistics, and also in applied areas such as law and ...
A language-independent authorship attribution approach, framing attribution as a conventional text classification problem [15] . ...
dblp:conf/clef/KestemontSMDPS19
fatcat:bjgpyegqyfc35flrqdixlpmo3u
Authorship Attribution in Fan-fictional Texts given Variable Length Character and Word n-grams
2019
Conference and Labs of the Evaluation Forum
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The task of authorship attribution (AA) requires text features to be represented according to rigorous experiments. ...
the lexical features and content of a given text. ...
Introduction Authorship Attribution (AA) is the task of determining the author of a text from a set of candidates. ...
dblp:conf/clef/MuttenthalerLA19
fatcat:kerwcy26hzajhagtf6rzrvgvuq
Cross-Domain Authorship Attribution Combining Instance Based and Profile-Based Features
2019
Conference and Labs of the Evaluation Forum
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
We use ngrams of characters, words, stemmed words, and distorted text. Our model has an SVM for each feature and an ensemble architecture. ...
In this notebook, we propose our model for the Authorship Attribution task of PAN 2019, that focuses on cross-domain setting covering 4 different languages: French, Italian, English, and Spanish. ...
We use different pre-processing techniques to extract features of a different meaning. We use text distortion, tokenization, stemming, and POS tagging to prepare the text for the extraction. ...
dblp:conf/clef/BacciuMMNNS19a
fatcat:2ceoj43zwbaqnkvluy5zpyqviu
Multi-Task Learning for Authorship Attribution via Topic Approximation and Competitive Attention
2019
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Separating content from style is a fundamental problem in authorship attribution to represent topic independent personal style of authors. ...
In addition to authorship attribution as the main task, we introduce a novel auxiliary task topic approximation to guide the learning of topic representations with the topic distributions inferred by topic ...
Reference [32] proposed a text distortion solution. ...
doi:10.1109/access.2019.2957152
fatcat:yfaqvwo3jzfido4tux6ccufwtq
Authorship Arabic Text Detection According to Style of Writing by Using (SABA) Method
2017
Asian Journal of Applied Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Authorship attribution of a style of writing is a method depend on analyzing texts in text mining, e.g., historical books and novels that famous authors wrote, attempted to measure the author's style, ...
Assuming that these writers have a different way of writing that no other writer have; thus, authorship attribution is the essential of identifying the author of a given text [1]. ...
To be more specific, in the authorship investigation using the style of the author, we use a sub-field of text mining called "Authorship attribution" and "Stylometric Text mining". ...
doi:10.24203/ajas.v5i2.4750
fatcat:aat5w4ao5vdhrg5r6bg2ryneny
A Controlled-corpus Experiment in Authorship Identification by Cross-entropy
2005
Literary and Linguistic Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In particular, despite the designed difficulty of the Dutch corpus used, the technique was still able to reliably detect not only authorship, but also subtle features of register, topic, and even the educational ...
This paper describes an authorship, and more generally document classification, experiment on a preexisting Dutch corpus of university writings. ...
Forsyth (1997, http://www.ach.org/abstracts-/1997/p026.html) compiled a first benchmark collection of texts for validating authorship attribution techniques. ...
doi:10.1093/llc/fqi024
fatcat:cs25uj6gszgm7dru6r3jw4ekpq
Protecting Anonymous Speech: A Generative Adversarial Network Methodology for Removing Stylistic Indicators in Text
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Existing approaches to authorship anonymization, also known as authorship obfuscation, often focus on protecting binary demographic attributes rather than identity as a whole. ...
, when given a sample of previous work, can match text with its author out of hundreds of possible candidates. ...
Introduction Stylometric authorship attribution attempts to identify the author or attributes of the author of a given piece of text. ...
arXiv:2110.09495v1
fatcat:cc6pfo2otjb37ooeqobvt6fhay
Agree-to-Disagree (A2D): A Deep Learning based Framework for Authorship Discrimination Task in Corpus-specificity Free Manner
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
At the first stage, it learns the authorship attributes with its Agree network. ...
Subsequently, through its Disagree network, the framework attempts to differentiate the authorship of a new dataset (completely unrelated to the training dataset), a novel use case that has not been systematically ...
Authorship attribution Authorship Attribution Using Text Distortion [17] 2017 Text distortion algorithm to extract stylometric features Authorship attribution Authorship Attribution for Social Media Forensics ...
doi:10.1109/access.2020.3021658
fatcat:364a2wb3rvawph34jqkhpkqcpu
Blogs, Twitter Feeds, and Reddit Comments: Cross-domain Authorship Attribution
2016
Proceedings on Privacy Enhancing Technologies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Stylometry is a form of authorship attribution that relies on the linguistic information to attribute documents of unknown authorship based on the writing styles of a suspect set of authors. ...
authorship attribution. ...
Related Work
Stylometry Machine learning techniques have been used, to great success, in authorship attribution of documents. ...
doi:10.1515/popets-2016-0021
dblp:journals/popets/OverdorfG16
fatcat:qkjpbqh5zvcvdd7yl2dv4kkkla
Cross-Domain Authorship Attribution Using Pre-trained Language Models
[chapter]
2020
IFIP Advances in Information and Communication Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
An especially challenging but very realistic scenario is cross-domain attribution where texts of known authorship (training set) differ from texts of disputed authorship (test set) in topic or genre. ...
Authorship attribution attempts to identify the authors behind texts and has important applications mainly in cyber-security, digital humanities and social media analytics. ...
The main idea is that a character-level RNN is produced using all available texts by the candidate authors while a separate output is built for each author (MHC). ...
doi:10.1007/978-3-030-49161-1_22
fatcat:j7kjmdxtezb4rbc3agisl23ym4
A robust authorship attribution on big period
2019
International Journal of Electrical and Computer Engineering (IJECE)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Authorship attribution is a task to identify the writer of unknown text and categorize it to known writer. Writing style of each author is distinct and can be used for the discrimination. ...
And character n-gram, word n-gram and pos n-gram features used to build the model. ...
Actually, this is a tedious task but it can be simplified using authorship attribution. Generally, messages on web are nameless. ...
doi:10.11591/ijece.v9i4.pp3167-3174
fatcat:truu5jfvejbivdfafdzucnjftq
Authorship Attribution through Punctuation n-grams and Averaged Combination of SVM
2019
Conference and Labs of the Evaluation Forum
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The use of punctuation n-grams as a feature representation of a document is introduced for the Authorship Attribution in combination with traditional character n-grams. ...
This approach managed to obtain 0.642 with the Macro F1-score for the PAN 2019 contest of open-set Cross-Domain Authorship Attribution. ...
[6] shows that the elimination of topic-dependent information from texts allows to improve the performance of authorship attribution classifiers. ...
dblp:conf/clef/RodriguezASSBG19
fatcat:krckg4stsza6pd65l6lehzccmq
Towards Authorship Attribution in Arabic Short-Microblog Text
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
One possible extension is to use pre-trained language models like AraBert, which has recently gained much popularity on the related NLP tasks. ...
In [13] , the authors proposed method to enhance authorship attribution effectiveness by introducing a text distortion step before extracting style-metric measures. ...
Character n-grams were used with a Convolutional Neural Network (CNN) by [31] for authorship attribution of short texts. ...
doi:10.1109/access.2021.3112624
fatcat:dgbwsl6eybf7tfj4gybhgome2i
« Previous
Showing results 1 — 15 out of 12,169 results