Kernel methods and string kernels for authorship identification: The Federalist papers case

International Conference Recent Advances in Natural Language Processing, RANLP

Volumn 2007-January, Issue , 2007, Pages 484-486

  Popescu, Marius ^a   Dinu, Liviu P ^a  

^a UNIVERSITY OF BUCHAREST   (Romania)

Author keywords

Authorship identification; Federalist papers; Kernel methods; String kernels

Indexed keywords

MARKOV PROCESSES;

AUTHORSHIP IDENTIFICATION; DATA SET; FEDERALIST PAPER; KERNEL-METHODS; PERFORMANCE; STRING KERNEL;

BENCHMARKING;

EID: 84890483825     PISSN: 13138502     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Joachim Diederich, Jörg Kindermann, Edda Leopold, and Gerhard Paass. 2003. Authorship attribution with support vector machines. Applied Intelligence, 19(1-2):109-123.
2. Glenn Fung. 2003. The disputed federalist papers: Svm feature selection via concave minimization. In Richard Tapia Celebration of Diversity in Computing Conference, pages 42-46. ACM.
3. Alexander Hamilton, James Madison, and John Jay. 1982. The Federalist Papers (With an introduction and commentary by Garry Wills). Bantam Classic, New York, NY, USA.
4. Dimitri V. Khmelev and Fiona J. Tweedie. 2001. Using markov chains for identification of writers. Literary and Linguistic Computing, 16(3):299-307.
5. Frederick Mosteller and David L. Wallace. 1964. Inference and Disputed Authorship: The Federalist. Addison-Wesley, Massachusetts.
6. Conrad Sanderson and Simon Guenter. 2006. Short text authorship attribution via sequence kernels, markov chains and author unmasking: An investigation. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pages 482-491, Sydney, Australia, July. Association for Computational Linguistics.
7. Craig Saunders, John Shawe-Taylor, and Alexei Vinokourov. 2003. String kernels, fisher kernels and finite state automata. In S. Thrun S. Becker and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, pages 633-640. MIT Press, Cambridge, MA.
8. John S. Taylor and Nello Cristianini. 2004. Kernel Methods for Pattern Analysis. Cambridge University Press, New York, NY, USA.