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Sentence clustering using continuous vector space representation

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Sentence clustering using continuous vector space representation

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Chinea Ríos, M.; Sanchis Trilles, G.; Casacuberta Nolla, F. (2015). Sentence clustering using continuous vector space representation. En Pattern Recognition and Image Analysis: 7th Iberian Conference, IbPRIA 2015, Santiago de Compostela, Spain, June 17-19, 2015, Proceedings. Springer International Publishing. 432-440. doi:10.1007/978-3-319-19390-8 49

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/64386

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Title: Sentence clustering using continuous vector space representation
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
In this paper, we present a clustering approach based on the combined use of a continuous vector space representation of sentences and the k-means algorithm. The principal motivation of this proposal is to split a big ...[+]
Subjects: Clustering , k-means , Continuous vector spaces
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-319-19389-2
Source:
Pattern Recognition and Image Analysis: 7th Iberian Conference, IbPRIA 2015, Santiago de Compostela, Spain, June 17-19, 2015, Proceedings. (issn: 0302-9743 )
DOI: 10.1007/978-3-319-19390-8 49
Publisher:
Springer International Publishing
Publisher version: http://link.springer.com/chapter/10.1007/978-3-319-19390-8_49
Series: Lecture Notes in Computer Science;9117
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-19390-8_49
Type: Capítulo de libro

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