Abstract
In the authorship verification problem, we are given examples of the writing of a single author and are asked to determine if given long texts were or were not written by this author. We present a new learning-based method for adducing the "depth of difference" between two example sets and offer evidence that this method solves the authorship verification problem with very high accuracy. The underlying idea is to test the rate of degradation of the accuracy of learned models as the best features are iteratively dropped from the learning process.
Original language | English |
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Pages (from-to) | 1261-1276 |
Number of pages | 16 |
Journal | Journal of Machine Learning Research |
Volume | 8 |
State | Published - Jun 2007 |
Bibliographical note
Funding Information:Work supported by the EC (FEDER/FSE) and the Spanish MEC/MICINN under the MIPRCV “Consolider Ingenio 2010” program (CSD2007-00018) and iTrans2 (TIN2009-14511) projects. Also supported by the Spanish MITyC under the erudito.com (TSI-020110-2009-439) project and by the Generalitat Valenciana under grant Prometeo/2009/014 and GV/2010/067, and by the “Vicerrectorado de Investigación de la UPV” under grant 20091027.
Funding Information:
★Work supported by the EC (FEDER/FSE) and the Spanish MEC/MICINN un-der the MIPRCV “Consolider Ingenio 2010” program (CSD2007-00018) and iTrans2 (TIN2009-14511) projects. Also supported by the Spanish MITyC under the eru-dito.com (TSI-020110-2009-439) project and by the Generalitat Valenciana under grant Prometeo/2009/014 and GV/2010/067, and by the “Vicerrectorado de Inves-tigación de la UPV” under grant 20091027.
Funding
Work supported by the EC (FEDER/FSE) and the Spanish MEC/MICINN under the MIPRCV “Consolider Ingenio 2010” program (CSD2007-00018) and iTrans2 (TIN2009-14511) projects. Also supported by the Spanish MITyC under the erudito.com (TSI-020110-2009-439) project and by the Generalitat Valenciana under grant Prometeo/2009/014 and GV/2010/067, and by the “Vicerrectorado de Investigación de la UPV” under grant 20091027. ★Work supported by the EC (FEDER/FSE) and the Spanish MEC/MICINN un-der the MIPRCV “Consolider Ingenio 2010” program (CSD2007-00018) and iTrans2 (TIN2009-14511) projects. Also supported by the Spanish MITyC under the eru-dito.com (TSI-020110-2009-439) project and by the Generalitat Valenciana under grant Prometeo/2009/014 and GV/2010/067, and by the “Vicerrectorado de Inves-tigación de la UPV” under grant 20091027.
Funders | Funder number |
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MITyC | TSI-020110-2009-439 |
Vicerrectorado de Inves-tigación de la UPV | 20091027 |
Faculty of Science and Engineering, University of Manchester | |
European Commission | |
Federación Española de Enfermedades Raras | |
Ministerio de Economía y Competitividad | |
Generalitat Valenciana | Prometeo/2009/014, GV/2010/067 |
Ministerio de Ciencia e Innovación | CSD2007-00018, TIN2009-14511 |
European Regional Development Fund |
Keywords
- Authorship attribution
- One-class learning
- Unmasking