Learning of stochastic context-free grammars by means of estimation algorithms and initial treebank grammars

Diego Linares; Joan Andreu Sánchez; José Miguel Benedí; Francisco Torres

doi:10.1007/978-3-540-44871-6_47

Learning of stochastic context-free grammars by means of estimation algorithms and initial treebank grammars

Diego Linares, Joan Andreu Sánchez, José Miguel Benedí, Francisco Torres

Polytechnic University of Valencia

Producción: Capítulo del libro/informe/acta de congreso › Capítulo › revisión exhaustiva

4 Citas (Scopus)

Resumen

In this paper we study the problem of learning of Stochastic Context-Free Grammars by means of estimation algorithms. In these algorithms, which are based on a gradient descendent technique, the initial model play an important role. Here we explore the use of initial SCFG obtained from a treebank corpus. Experiments on the UPenn Treebank corpus are reported.

Idioma original	Inglés
Título de la publicación alojada	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editores	Francisco Jose Perales, Aurelio J. C. Campilho, Nicolas Perez Perez, Nicolas Perez Perez
Editorial	Springer Verlag
Páginas	403-410
Número de páginas	8
ISBN (versión impresa)	3540402179, 9783540402176
DOI	https://doi.org/10.1007/978-3-540-44871-6_47
Estado	Publicada - 2003

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	2652
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Acceder al documento

10.1007/978-3-540-44871-6_47

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Linares, D., Sánchez, J. A., Benedí, J. M., & Torres, F. (2003). Learning of stochastic context-free grammars by means of estimation algorithms and initial treebank grammars. En F. J. Perales, A. J. C. Campilho, N. P. Perez, & N. P. Perez (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 403-410). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2652). Springer Verlag. https://doi.org/10.1007/978-3-540-44871-6_47

Linares, Diego ; Sánchez, Joan Andreu ; Benedí, José Miguel et al. / Learning of stochastic context-free grammars by means of estimation algorithms and initial treebank grammars. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Francisco Jose Perales ; Aurelio J. C. Campilho ; Nicolas Perez Perez ; Nicolas Perez Perez. Springer Verlag, 2003. pp. 403-410 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inbook{2bd60aa75a604e0391b6285c245da464,

title = "Learning of stochastic context-free grammars by means of estimation algorithms and initial treebank grammars",

abstract = "In this paper we study the problem of learning of Stochastic Context-Free Grammars by means of estimation algorithms. In these algorithms, which are based on a gradient descendent technique, the initial model play an important role. Here we explore the use of initial SCFG obtained from a treebank corpus. Experiments on the UPenn Treebank corpus are reported.",

author = "Diego Linares and S{\'a}nchez, {Joan Andreu} and Bened{\'i}, {Jos{\'e} Miguel} and Francisco Torres",

year = "2003",

doi = "10.1007/978-3-540-44871-6_47",

language = "English",

isbn = "3540402179",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "403--410",

editor = "Perales, {Francisco Jose} and Campilho, {Aurelio J. C.} and Perez, {Nicolas Perez} and Perez, {Nicolas Perez}",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

address = "Germany",

}

Linares, D, Sánchez, JA, Benedí, JM & Torres, F 2003, Learning of stochastic context-free grammars by means of estimation algorithms and initial treebank grammars. En FJ Perales, AJC Campilho, NP Perez & NP Perez (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2652, Springer Verlag, pp. 403-410. https://doi.org/10.1007/978-3-540-44871-6_47

Learning of stochastic context-free grammars by means of estimation algorithms and initial treebank grammars. / Linares, Diego; Sánchez, Joan Andreu; Benedí, José Miguel et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Francisco Jose Perales; Aurelio J. C. Campilho; Nicolas Perez Perez; Nicolas Perez Perez. Springer Verlag, 2003. p. 403-410 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2652).

Producción: Capítulo del libro/informe/acta de congreso › Capítulo › revisión exhaustiva

TY - CHAP

T1 - Learning of stochastic context-free grammars by means of estimation algorithms and initial treebank grammars

AU - Linares, Diego

AU - Sánchez, Joan Andreu

AU - Benedí, José Miguel

AU - Torres, Francisco

PY - 2003

Y1 - 2003

N2 - In this paper we study the problem of learning of Stochastic Context-Free Grammars by means of estimation algorithms. In these algorithms, which are based on a gradient descendent technique, the initial model play an important role. Here we explore the use of initial SCFG obtained from a treebank corpus. Experiments on the UPenn Treebank corpus are reported.

AB - In this paper we study the problem of learning of Stochastic Context-Free Grammars by means of estimation algorithms. In these algorithms, which are based on a gradient descendent technique, the initial model play an important role. Here we explore the use of initial SCFG obtained from a treebank corpus. Experiments on the UPenn Treebank corpus are reported.

UR - http://www.scopus.com/inward/record.url?scp=35248889569&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-44871-6_47

DO - 10.1007/978-3-540-44871-6_47

M3 - Chapter

AN - SCOPUS:35248889569

SN - 3540402179

SN - 9783540402176

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 403

EP - 410

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A2 - Perales, Francisco Jose

A2 - Campilho, Aurelio J. C.

A2 - Perez, Nicolas Perez

PB - Springer Verlag

ER -

Linares D, Sánchez JA, Benedí JM, Torres F. Learning of stochastic context-free grammars by means of estimation algorithms and initial treebank grammars. En Perales FJ, Campilho AJC, Perez NP, Perez NP, editores, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2003. p. 403-410. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-44871-6_47

Learning of stochastic context-free grammars by means of estimation algorithms and initial treebank grammars

Resumen

Serie de la publicación

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto