File(s) under permanent embargo
Local n-grams for author identification: notebook for PAN at CLEF 2013
conference contribution
posted on 2013-01-01, 00:00 authored by R Layton, P Watters, Richard DazeleyRichard DazeleyOur approach to the author identification task uses existing authorship attribution methods using local n-grams (LNG) and performs a weighted ensemble. This approach came in third for this year's competition, using a relatively simple scheme of weights by training set accuracy. LNG models create profiles, consisting of a list of character n-grams that best represent a particular author's writing. The use of a weighted ensemble improved upon the accuracy of the method without reducing the speed of the algorithm; the submitted solution was not only near the top of the leaderboard in terms of accuracy, but it was also one of the faster algorithms submitted.
History
Event
Conference and Labs of the Evaluation Forum Association. Conference (2013 : Valencia, Spain)Volume
1179Series
Conference and Labs of the Evaluation Forum Association ConferencePagination
1 - 4Publisher
M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH AachenLocation
Valencia, SpainPlace of publication
Aachen, GermanyStart date
2013-09-23End date
2013-09-26ISSN
1613-0073Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2013, M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH AachenEditor/Contributor(s)
Pamela Forner, Roberto Navigli, Dan Tufis, Nicola FerroTitle of proceedings
CLEF 2013 : Proceedings of the CLEF 2013 ConferenceUsage metrics
Categories
No categories selectedLicence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC