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Generalized Mongue-Elkan Method for Approximate Text String Comparison

Identifieur interne : 000967 ( Main/Exploration ); précédent : 000966; suivant : 000968

Generalized Mongue-Elkan Method for Approximate Text String Comparison

Auteurs : Sergio Jimenez [Colombie] ; Claudia Becerra [Colombie] ; Alexander Gelbukh [Mexique] ; Fabio Gonzalez [Colombie]

Source :

RBID : ISTEX:D3F8A6D0E002F61AB5EE2CA7D61645136F1746EA

Abstract

Abstract: The Mongue-Elkan method is a general text string comparison method based on an internal character-based similarity measure (e.g. edit distance) combined with a token level (i.e. word level) similarity measure. We propose a generalization of this method based on the notion of the generalized arithmetic mean instead of the simple average used in the expression to calculate the Monge-Elkan method. The experiments carried out with 12 well-known name-matching data sets show that the proposed approach outperforms the original Monge-Elkan method when character-based measures are used to compare tokens.

Url:
DOI: 10.1007/978-3-642-00382-0_45


Affiliations:


Links toward previous steps (curation, corpus...)


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