Título |
Generalized Mongue-Elkan Method for Approximate Text String Comparison |
Tipo |
Congreso |
Sub-tipo |
SCOPUS |
Descripción |
Lecture Notes in Computer Science |
Resumen |
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. |
Observaciones |
10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009; Code 76623; ISBN: 3642003818;978-364200381-3
|
Lugar |
Ciudad de México |
País |
Mexico |
No. de páginas |
559-570 |
Vol. / Cap. |
5449 |
Inicio |
2009-03-01 |
Fin |
2009-03-07 |
ISBN/ISSN |
3642003818;978-36420 |