Statistical Parsing Exposed: Viewing the Model as Data - Couverture souple

Bikel, Daniel M.

 
9783639145618: Statistical Parsing Exposed: Viewing the Model as Data
Couverture souple
ISBN 10 : 3639145615 ISBN 13 : 9783639145618
Editeur : VDM Verlag, 2009

Synopsis

This book develops techniques and methodologies for the examination of the complex systems that are lexicalized statistical parsing models. The primary idea is treating the ¿model as data¿, which is not a particular method, but a paradigm and a research methodology. I argue that lexicalized statistical parsing models have become increasingly complex, and therefore require thorough scrutiny, both to achieve the scientific aim of understanding what has been built thus far, and to achieve both the scientific and engineering goal of using that understanding for progress. In this book, I take a particular, dominant type of parsing model and perform a macro analysis, to reveal its core (and design a software engine that modularizes the periphery), and also crucially perform a detailed analysis, which provides for the first time a window onto the efficacy of specific parameters. These analyses have not only yielded insight into the core model, but they have also enabled the identification of ¿inefficiencies¿ in the baseline model, such that those inefficiencies can be reduced to form a more compact model, or exploited for finding a better-estimated model with higher accuracy, or both.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book develops techniques and methodologies for the examination of the complex systems that are lexicalized statistical parsing models. The primary idea is treating the ¿model as data¿, which is not a particular method, but a paradigm and a research methodology. I argue that lexicalized statistical parsing models have become increasingly complex, and therefore require thorough scrutiny, both to achieve the scientific aim of understanding what has been built thus far, and to achieve both the scientific and engineering goal of using that understanding for progress. In this book, I take a particular, dominant type of parsing model and perform a macro analysis, to reveal its core (and design a software engine that modularizes the periphery), and also crucially perform a detailed analysis, which provides for the first time a window onto the efficacy of specific parameters. These analyses have not only yielded insight into the core model, but they have also enabled the identification of ¿inefficiencies¿ in the baseline model, such that those inefficiencies can be reduced to form a more compact model, or exploited for finding a better-estimated model with higher accuracy, or both.

Biographie de l'auteur

Dr. Bikel graduated with honors from Harvard in 1993 with a degree in Classics¿Ancient Greek and Latin. He received M.S. and Ph.D. degrees in computer science from the University of Pennsylvania in 1999 and 2004, respectively, and is currently a research scientist at the IBM T. J. Watson Research Center.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag
Date d'édition
2009
Langue
anglais
ISBN 10 
3639145615
ISBN 13 
9783639145618
Reliure
Broché
Nombre de pages
148
Coordonnées du fabricant
non disponible
Personne responsable
non disponible