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» Authorship Attribution Using Word Sequences
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CIARP
2006
Springer
13 years 8 months ago
Authorship Attribution Using Word Sequences
Authorship attribution is the task of identifying the author of a given text. The main concern of this task is to define an appropriate characterization of documents that captures ...
Rosa María Coyotl-Morales, Luis Villase&nti...
ICPR
2006
IEEE
14 years 5 months ago
On Authorship Attribution via Markov Chains and Sequence Kernels
We investigate the use of recently proposed character and word sequence kernels for the task of authorship attribution and compare their performance with two probabilistic approac...
Conrad Sanderson, Simon Günter
EMNLP
2006
13 years 6 months ago
Short Text Authorship Attribution via Sequence Kernels, Markov Chains and Author Unmasking: An Investigation
We present an investigation of recently proposed character and word sequence kernels for the task of authorship attribution based on relatively short texts. Performance is compare...
Conrad Sanderson, Simon Günter
LREC
2008
84views Education» more  LREC 2008»
13 years 6 months ago
Using the Complexity of the Distribution of Lexical Elements as a Feature in Authorship Attribution
Traditional Authorship Attribution models extract normalized counts of lexical elements such as nouns, common words and punctuation and use these normalized counts or ratios as fe...
Leanne Spracklin, Diana Inkpen, Amiya Nayak
IJCNLP
2005
Springer
13 years 10 months ago
A Comparative Study of Language Models for Book and Author Recognition
Abstract. Linguistic information can help improve evaluation of similarity between documents; however, the kind of linguistic information to be used depends on the task. In this pa...
Özlem Uzuner, Boris Katz