- -

An active learning approach for statistical spoken language understanding

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

An active learning approach for statistical spoken language understanding

Show full item record

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. doi:10.1007/978-3-642-25085-9_67

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/38643

Files in this item

Item Metadata

Title: An active learning approach for statistical spoken language understanding
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
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 ...[+]
Subjects: Active learning , Unaligned corpus , Spoken language understanding , Spoken dialog systems
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-642-25084-2
Source:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-25085-9_67
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/chapter/10.1007%2F978-3-642-25085-9_67
Conference name: 16th Iberoamerican Congress, CIARP
Conference place: Pucón, Chile
Conference date: November 15-18, 2011
Series: Lecture Notes in Computer Science;
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-25085-9_67
Type: Capítulo de libro

This item appears in the following Collection(s)

Show full item record