An Ensemble Approach to Cross-Domain Authorship Attribution

被引：7

作者：

Custodio, Jose Eleandro ^{[1
]}

Paraboni, Ivandre ^{[1
]}

机构：

[1] Univ Sao Paulo, Sch Arts Sci & Humanities EACH, Sao Paulo, Brazil

来源：

EXPERIMENTAL IR MEETS MULTILINGUALITY, MULTIMODALITY, AND INTERACTION (CLEF 2019) | 2019年 / 11696卷

基金：

巴西圣保罗研究基金会;

关键词：

D O I：

10.1007/978-3-030-28577-7_17

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an ensemble approach to cross-domain authorship attribution that combines predictions made by three independent classifiers, namely, standard character n-grams, character n-grams with non-diacritic distortion and word n-grams. Our proposal relies on variable-length n-gram models and multinomial logistic regression to select the prediction of highest probability among the three models as the output for the task. The present approach is compared against a number of baseline systems, and we report results based on both the PAN-CLEF 2018 test data, and on a new corpus of song lyrics in English and Portuguese.

引用

页码：201 / 212

页数：12

共 50 条

[31] The complex networks approach for authorship attribution of books
Mehri, Ali
Darooneh, Amir H.
Shariati, Ashrafalsadat
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2012, 391 (07) : 2429 - 2437
[32] A Computational Approach for Authorship Attribution on Multiple Languages
Varela, Paulo J.
Albonico, Michel
Justino, Edson J. R.
Bortolozzi, Flavin
2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2018,
[33] New approach to feature extraction in authorship attribution
Gonzalez Brito, Omar
Tapia Fabela, Jose Luis
Salas Hernandez, Silvia
INTERNATIONAL JOURNAL OF COMBINATORIAL OPTIMIZATION PROBLEMS AND INFORMATICS, 2021, 12 (03): : 87 - 97
[34] Cross-Domain Disentanglement: A Novel Approach to Financial Market Prediction
Abdulsahib, Humam M.
Ghaderi, Foad
IEEE ACCESS, 2024, 12 : 16255 - 16265
[35] A constrained optimization approach for cross-domain emotion distribution learning
Qin, Xiaorui
Chen, Yufu
Rao, Yanghui
Xie, Haoran
Wong, Man Leung
Wang, Fu Lee
KNOWLEDGE-BASED SYSTEMS, 2021, 227
[36] An NLP approach for cross-domain ambiguity detection in requirements engineering
Ferrari, Alessio
Esuli, Andrea
AUTOMATED SOFTWARE ENGINEERING, 2019, 26 (03) : 559 - 598
[37] CROSS-DOMAIN SENTIMENT CLASSIFICATION USING DEEP LEARNING APPROACH
Sun, Miao
Tan, Qi
Ding, Runwei
Liu, Hong
2014 IEEE 3RD INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (CCIS), 2014, : 60 - 64
[38] A Realistic Approach to a Network-on-Chip Cross-Domain Pattern
Larrucea, Asier
Perez, Jon
Nicolas, Carlos F.
Ahmadian, Hamidreza
Obermaisser, Roman
19TH EUROMICRO CONFERENCE ON DIGITAL SYSTEM DESIGN (DSD 2016), 2016, : 396 - 403
[39] Automatic Driving Scenarios: A Cross-Domain Approach for Object Detection
Liu, Shengheng
Chen, Jiacheng
Li, Lei
Ma, Yahui
Huang, Yongming
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING, ICANN 2023, PT VII, 2023, 14260 : 40 - 52
[40] An NLP approach for cross-domain ambiguity detection in requirements engineering
Alessio Ferrari
Andrea Esuli
Automated Software Engineering, 2019, 26 : 559 - 598

← 1 2 3 4 5 →