PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Feature Instability as a Criterion for Selecting Potential Style Markers
Moshe Koppel, Navot Akiva and Ido Dagan
Journal of the American Society for Information Science and Technology (JASIST) 2004.


We introduce a new measure on linguistic features, called stability, which captures the extent to which a language element, such as a word or a syntactic construct, is replaceable by semantically equivalent elements. This measure may be perceived as quantifying the degree of available “synonymy” for a language item. We show that frequent but unstable features are especially useful as discriminators of an author’s writing style.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:933
Deposited By:Navot Akiva
Deposited On:10 January 2005