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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. https://doi.org/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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Título: Active learning for dialogue act labelling
Autor: Ghigi, Fabrizio Tamarit Ballester, Vicent Martínez-Hinarejos, Carlos-D. Benedí Ruiz, José Miguel
Entidad UPV: 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
Fecha difusión:
Resumen:
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 ...[+]
Palabras clave: Active Learning , Active-learning process , Experimental approaches , Open problems , Sample selection , Selection criteria , Statistical models , Weighted number , Pattern recognition , Image analysis
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-642-21256-7
Fuente:
Lecture Notes in Computer Science. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-21257-4_81
Editorial:
Springer Verlag (Germany)
Versión del editor: http://link.springer.com/chapter/10.1007/978-3-642-21257-4_81
Título del congreso: 5th Iberian Conference, IbPRIA 2011
Lugar del congreso: Las Palmas de Gran Canaria, Spain
Fecha congreso: June 8-10, 2011
Serie: Lecture Notes in Computer Science;6669
Código del Proyecto:
info:eu-repo/grantAgreement/MEC//CSD2007-00018/ES/Multimodal Intraction in Pattern Recognition and Computer Visionm/
info:eu-repo/grantAgreement/MICINN//TIN2009-14633-C03-01/ES/Multimodal Interaction For Text Transcription With Adaptive Learning/
info:eu-repo/grantAgreement/MICINN//BES-2009-028965-1/ES/BES-2009-028965-1/
info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/
info:eu-repo/grantAgreement/GVA//GV%2F2010%2F067/
Agradecimientos:
Work supported by the EC (FEDER/FSE) and the Spanish MEC/MICINN under the MIPRCV “Consolider Ingenio 2010” program (CSD2007-00018), MITTRAL (TIN2009-14633-C03-01) projects and the FPI scholarship (BES-2009-028965). Also ...[+]
Tipo: Capítulo de libro

References

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Bunt, H.: Context and dialogue control. THINK Quarterly 3 (1994) [+]
Alcácer, N., Benedí, J.M., Blat, F., Granell, R., Martínez, C.D., Torres, F.: Acquisition and Labelling of a Spontaneous Speech Dialogue Corpus. In: SPECOM, Greece, pp. 583–586 (2005)

Benedí, J.M., Lleida, E., Varona, A., Castro, M.J., Galiano, I., Justo, R., López, I., Miguel, A.: Design and acquisition of a telephone spontaneous speech dialogue corpus in spanish: DIHANA. In: Fifth LREC, Genova, Italy, pp. 1636–1639 (2006)

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Martínez-Hinarejos, C.D., Tamarit, V., Benedí, J.M.: Improving unsegmented dialogue turns annotation with N-gram transducers. In: Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation (PACLIC23), vol. 1, pp. 345–354 (2009)

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Stolcke, A., Coccaro, N., Bates, R., Taylor, P., van Ess-Dykema, C., Ries, K., Shriberg, E., Jurafsky, D., Martin, R., Meteer, M.: Dialogue act modelling for automatic tagging and recognition of conversational speech. Computational Linguistics 26(3), 1–34 (2000)

Tamarit, V., Benedí, J., Martínez-Hinarejos, C.: Estimating the number of segments for improving dialogue act labelling. In: Proceedings of the First International Workshop of Spoken Dialog Systems Technology (2009)

Young, S.: Probabilistic methods in spoken dialogue systems. Philosophical Trans. Royal Society (Series A) 358(1769), 1389–1402 (2000)

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