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Active learning for dialogue act labelling

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Active learning for dialogue act labelling

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Ghigi, F.; Tamarit Ballester, V.; Martínez-Hinarejos, C.; Benedí Ruiz, JM. (2011). Active learning for dialogue act labelling. En Lecture Notes in Computer Science. Springer Verlag (Germany). 6669:652-659. doi:10.1007/978-3-642-21257-4_81

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/37492

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Title: Active learning for dialogue act labelling
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica
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Abstract:
Active learning is a useful technique that allows for a considerably reduction of the amount of data we need to manually label in order to reach a good performance of a statistical model. In order to apply active learning ...[+]
Subjects: Active Learning , Active-learning process , Experimental approaches , Open problems , Sample selection , Selection criteria , Statistical models , Weighted number , Pattern recognition , Image analysis
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-642-21256-7
Source:
Lecture Notes in Computer Science. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-21257-4_81
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/chapter/10.1007/978-3-642-21257-4_81
Conference name: 5th Iberian Conference, IbPRIA 2011
Conference place: Las Palmas de Gran Canaria, Spain
Conference date: June 8-10, 2011
Series: Lecture Notes in Computer Science;6669
Type: Capítulo de libro

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