- -

An active learning approach for statistical spoken language understanding

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

An active learning approach for statistical spoken language understanding

Mostrar el registro sencillo del ítem

Ficheros en el ítem

Thumbnail
Nombre: ciarp11_slu_8.pdf
Tamaño: 303.2Kb
Formato: PDF
Descripción: Versión del Autor.
Abrir
[Cerrado]
Nombre: García;Hurtado;Sanchís ...
Tamaño: 107.8Kb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor
dc.contributor.author García Granada, Fernando es_ES
dc.contributor.author Hurtado Oliver, Lluis Felip es_ES
dc.contributor.author Sanchís Arnal, Emilio es_ES
dc.contributor.author Segarra Soriano, Encarnación es_ES
dc.date.accessioned 2014-07-07T14:35:24Z
dc.date.issued 2011
dc.identifier.isbn 978-3-642-25084-2
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/38643
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-25085-9_67 es_ES
dc.description.abstract In general, large amount of segmented and labeled data is needed to estimate statistical language understanding systems. In recent years, different approaches have been proposed to reduce the segmentation and labeling effort by means of unsupervised o semi-supervised learning techniques. We propose an active learning approach to the estimation of statistical language understanding models that involves the transcription, labeling and segmentation of a small amount of data, along with the use of raw data. We use this approach to learn the understanding component of a Spoken Dialog System. Some experiments that show the appropriateness of our approach are also presented. es_ES
dc.description.sponsorship Work partially supported by the Spanish MICINN under contract TIN2008-06856-C05-02, and by the Vicerrectorat d’Investigació, Desenvolupament i Innovació of the Universitat Politècnica de València under contract 20100982.
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;
dc.rights Reserva de todos los derechos es_ES
dc.subject Active learning es_ES
dc.subject Unaligned corpus es_ES
dc.subject Spoken language understanding es_ES
dc.subject Spoken dialog systems es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title An active learning approach for statistical spoken language understanding es_ES
dc.type Capítulo de libro es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1007/978-3-642-25085-9_67
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2008-06856-C05-02/ES/SISTEMAS BASADOS EN LA INTERACCION ORAL DINAMICAMENTE MEJORABLES Y ADAPTABLES A NUEVOS CONTEXTOS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//20100982/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation García Granada, F.; Hurtado Oliver, LF.; Sanchís Arnal, E.; Segarra Soriano, E. (2011). An active learning approach for statistical spoken language understanding. En Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer Verlag (Germany). 7042:565-572. https://doi.org/10.1007/978-3-642-25085-9_67 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 16th Iberoamerican Congress, CIARP es_ES
dc.relation.conferencedate November 15-18, 2011 es_ES
dc.relation.conferenceplace Pucón, Chile es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007%2F978-3-642-25085-9_67 es_ES
dc.description.upvformatpinicio 565 es_ES
dc.description.upvformatpfin 572 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 7042 es_ES
dc.relation.senia 206984
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.contributor.funder Universitat Politècnica de València
dc.description.references De Mori, R., Bechet, F., Hakkani-Tur, D., McTear, M., Riccardi, G., Tur, G.: Spoken language understanding: A survey. IEEE Signal Processing Magazine 25(3), 50–58 (2008) es_ES
dc.description.references Fraser, M., Gilbert, G.: Simulating speech systems. Computer Speech and Language 5, 81–99 (1991) es_ES
dc.description.references Gotab, P., Bechet, F., Damnati, G.: Active learning for rule-based and corpus-based spoken labguage understanding moldes. In: IEEE Workshop Automatic Speech Recognition and Understanding (ASRU 2009), pp. 444–449 (2009) es_ES
dc.description.references Gotab, P., Damnati, G., Becher, F., Delphin-Poulat, L.: Online slu model adaptation with a partial oracle. In: Proc. of InterSpeech 2010, Makuhari, Chiba, Japan, pp. 2862–2865 (2010) es_ES
dc.description.references He, Y., Young, S.: Spoken language understanding using the hidden vector state model. Speech Communication 48, 262–275 (2006) es_ES
dc.description.references Ortega, L., Galiano, I., Hurtado, L.F., Sanchis, E., Segarra, E.: A statistical segment-based approach for spoken language understanding. In: Proc. of InterSpeech 2010, Makuhari, Chiba, Japan, pp. 1836–1839 (2010) es_ES
dc.description.references Riccardi, G., Hakkani-Tur, D.: Active learning: theory and applications to automatic speech recognition. IEEE Transactions on Speech and Audio Processing 13(4), 504–511 (2005) es_ES
dc.description.references Segarra, E., Sanchis, E., Galiano, M., García, F., Hurtado, L.: Extracting Semantic Information Through Automatic Learning Techniques. International Journal of Pattern Recognition and Artificial Intelligence 16(3), 301–307 (2002) es_ES
dc.description.references Tur, G., Hakkani-Tr, D., Schapire, R.E.: Combining active and semi-supervised learning for spoken language understanding. Speech Communication 45, 171–186 (2005) es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem