Determining if two documents are written by the same author

Journal of the American Society for Information Science and Technology

Volumn 65, Issue 1, 2014, Pages 178-187

  Koppel, Moshe ^a   Winter, Yaron ^a  

^a BAR ILAN UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84895057938     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.22954     Document Type: Article

References (31)

1. Abbasi, A., & Chen, H. (2008). Writeprints: A stylometric approach to identity-level identification and similarity detection. ACM Transactions on Information Systems, 26(2).
2. Argamon, S. (2007). Interpreting Burrows's Delta: Geometric and probabilistic foundations. Literary and Linguistic Computing, 23(2), 131-147.
3. Brennan, M., & Greenstadt, R. (2009). Practical attacks on authorship recognition techniques. In Proceedings of the Twenty First Conference on Innovative Applications of Artificial Intelligence (IAAI), Pasadena, CA.
4. Bryll, R., Gutierrez-Osuna, R., & Quek, F.(2003). Attribute bagging: Improving accuracy of classifier ensembles by using random feature subsets. Pattern Recognition, 36(6), 1291-1302. (Pubitemid 36225868)
5. Burrows, J.F. (2002). Delta:Ameasure of stylistic difference and a guide to likely authorship. Literary and Linguistic Computing, 17, 267-287.
6. Escalante, H.J., Solorio, T., & Montes, M. (2011). Local histograms of character n-grams for authorship attribution. In Proceedings of the 49h Annual Meeting of the Association for Computational Linguistic (ACL 2011) (pp. 288-298). Portland, OR: ACL.
7. Grieve, J. (2007). Quantitative authorship attribution: An evaluation of techniques. Literary and Linguistic Computing, 22, 251-270.
8. Hoover, D.L. (2003). Multivariate analysis and the study of style variation. Literary and Linguistic Computing, 18, 341-360.
9. Houvardas, J., & Stamatatos, E. (2006). N-gram feature selection for author identification. In Proceedings of the 12th International Conference on Artificial Intelligence: Methodology, Systems, and Applications (ICAI 2006) (pp. 77-86). Varna, Bulgaria: ICAI. (Pubitemid 44608971)
10. Juola, P. (2008). Authorship attribution. Foundations and Trends in Information Retrieval, 1(3), 233-334. (Pubitemid 351642108)
11. Juola, P., & Baayen, R.H. (2005). A controlled-corpus experiment in authorship identification by cross-entropy. Literary and Linguistic Computing, 20, 59-67 (Pubitemid 43118787)
12. Keselj, V., Peng, F., Cercone, N., & Thomas, C. (2003). N-gram-based author profiles for authorship attribution. In Proceeding of PACLING'03 (pp. 255-264). Halifax, Canada: PACLING.
13. Koppel, M., & Schler, J. (2004). Authorship verification as a one-class classification problem. In Proceedings of 21st International Conference on Machine Learning (ICML 2004) (pp. 489-495). Banff, Canada: ICML. (Pubitemid 40290845)
14. Koppel, M., Schler, J., & Argamon, S. (2008). Computational methods in authorship attribution. Journal of the American Society for Information Science and Technology, 60(1), 9-26.
15. Koppel, M., Schler, J., & Argamon, S. (2011). Authorship attribution in the wild. Language Resources and Evaluation, 45(1), 83-94.
16. Luyckx, K., & Daelemans, W. (2008). Authorship attribution and verification with many authors and limited data. In Proceedings of the 22nd International Conference on Computational Linguistics (COLING 2008) (pp. 513-520). Manchester, UK: CONLING.
17. Luyckx, K., & Daelemans,W. (2010). The effect of author set size and data size in authorship attribution. Literary and Linguistic Computing, 1-21.
18. Madigan, D., Genkin, A., Lewis, D.D., Argamon, S., Fradkin, D., & Ye, L. (2005). Author identification on the large scale. In Proceedings of the Meeting of the Classification Society of North America, 2005.
19. Malyutov, M. (2006). Information transfer and combinatories. Lecture Notes in Computer Science 4123, 3.
20. Meyer zu Eissen, S., Stein, B., & Kulig, M. (2007). Plagiarism detection without reference collections. In R. Decker & H.J. Lenz (Eds.), Advances in data analysis (pp. 359-366). Berlin: Springer.
21. Narayanan, A., Paskov, H., Gong, N., Bethencourt, J., Stefanov, E., Shin, R. (2012). On the feasibility of Internet-scale author identification. IEEE S&P, 300-314. doi: 10.1109/SP.2012.46
22. Novak, J., Raghavan, P., & Tomkins, A. (2004). Anti-aliasing on the web. In Proceedings of the 13th International Conference onWorldWideWeb (ACM 2004). New York: ACM.
23. Plakias, S., & Stamatatos, E. (2008). Author identification using a tensor space representation. In Proceedings of the 18th European Conference on Artificial Intelligence (ECAI) (pp. 833-834). Greece: ECAI.
24. Reynolds, D.A. (1995). Speaker identification and verification using Gaussian mixture speaker models. Speech Communication 17(1-2): 91-108.
25. Sanderson, C., & Guenter, S. (2006). Short text authorship attribution via sequence kernels, Markov chains and author unmasking: An investigation. In Proceedings of Int'l Conference on Empirical Methods in Natural Language Processing (EMNLP 2006) (pp. 482-491). Sydney, Australia: EMNLP.
26. Stamatatos, E. (2009). A survey of modern authorship attribution methods. Journal of the American Society for Information Science and Technology, 60(3), 538-556.
27. Uzuner, U., & Katz, B. (2005). Acomparative study of language models for book and author recognition. Lecture Notes in Computer Science, 3651, 969-980.
28. Winter, Y. (2012). Determining whether two anonymous short documents are by the same author. Unpublished M.Sc. dissertation, Dept. of Computer Science, Bar-Ilan University.
29. Zelikovitz, S., Cohen, W., & Hirsh, H. (2007). Extending WHIRL with background knowledge for improved text classification. Information Retrieval, 10(1), 35-67.
30. Zhao, Y., & Zobel, J. (2005). Effective authorship attribution using function word. In Proceedings of the 2nd Asian Information Retrieval Symposium (AIRS 2005) (pp. 174-190). New York.
31. Zheng, R., Li, J., Chen, H., & Huang, Z. (2006). A framework for authorship identification of online messages: Writing-style features and classification techniques. Journal of the American Society for Information Science and Technology, 57(3), 378-393.