Por favor, use este identificador para citar o enlazar este ítem: http://repositoriodigital.ipn.mx/handle/123456789/16606
Título : Anaphora Resolution for Bengali: An Experiment with Domain Adaptation
Otros títulos : Resolución de anáfora para el bengalí: un experimento con la aplicación al dominio
Autor : Kumar Sikdar, Utpal
Ekbal, Asif
Saha, Sriparna
Uryupina, Olga
Poesio, Massimo
Palabras clave : Keywords. Anaphora/Co-reference resolution, CRF based mention detection, Bengali, BART.
Fecha de publicación : 7-jun-2013
Editorial : Revista Computación y Sistemas; Vol. 17 No.2
Citación : Revista Computación y Sistemas; Vol. 17 No.2
Citación : Revista Computación y Sistemas;Vol. 17 No.2
Resumen : Abstract. In this paper we present our first attempt on anaphora resolution for a resource poor language, namely Bengali. We address the issue of adapting a state-of-the-art system, BART, which was originally developed for English. Overall performance of co-reference resolution greatly depends on the high accurate mention detectors. We develop a number of models based on the heuristics used as well as on the particular machine learning employed. Thereafter we perform a series of experiments for adapting BART for Bengali. Our evaluation shows, a language-dependant system (designed primarily for English) can achieve a good performance level when re-trained and tested on a new language with proper subsets of features. The system produces the recall, precision and F-measure values of 56.00%, 46.50% and 50.80%, respectively. The contribution of this work is two-fold, viz. (i). attempt to build a machine learning based anaphora resolution system for a resource-poor Indian language; and (ii). domain adaptation of a state-of-the-art English co-reference resolution system for Bengali, which has completely different orthography and characteristics.
URI : http://www.repositoriodigital.ipn.mx/handle/123456789/16606
ISSN : 1405-5546
Aparece en las colecciones: Revistas

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
137_ART 3.pdf1.12 MBAdobe PDFVisualizar/Abrir

Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.