Reconnaissance thématique à partir de textes dictés et Adaptation dynamique de modèles de langages thématiquesReportar como inadecuado




Reconnaissance thématique à partir de textes dictés et Adaptation dynamique de modèles de langages thématiques - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

1 LIA - Laboratoire Informatique d-Avignon

Abstract : A robust strategy for dynamic language model selection, based on topic recognition and switching between topic models, is proposed. It is effective because it relies on a small set of well trained topic-dependent language models and on reliable topic recognition. By using perplexity as a performance measure of the LM switching model, a tangible reduction is observed with respect to the use of a single, general, static LM. Different methods are proposed for topic shift detection. Experimental results show that different strategies for topic shift detection have to be used depending on whether high recall or high precision are sought.

Keywords : Topic identification





Autor: Brigitte Bigi - Renato De Mori - Spriet Thierry -

Fuente: https://hal.archives-ouvertes.fr/



DESCARGAR PDF




Documentos relacionados