- -

Sentence clustering using continuous vector space representation

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Sentence clustering using continuous vector space representation

Show simple item record

Files in this item

dc.contributor.author Chinea Ríos, Mara es_ES
dc.contributor.author Sanchis Trilles, Germán es_ES
dc.contributor.author Casacuberta Nolla, Francisco es_ES
dc.date.accessioned 2016-05-19T10:14:42Z
dc.date.available 2016-05-19T10:14:42Z
dc.date.issued 2015-06-09
dc.identifier.isbn 978-3-319-19389-2
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/64386
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-19390-8_49 es_ES
dc.description.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 heterogeneous corpus into clusters of similar sentences. We use the word2vec toolkit for obtaining the representation of a given word as a continuous vector space. We provide empirical evidence for proving that the use of our technique can lead to better clusters, in terms of intra-cluster perplexity and F 1 score. es_ES
dc.language Inglés es_ES
dc.publisher Springer International Publishing es_ES
dc.relation.ispartof Pattern Recognition and Image Analysis: 7th Iberian Conference, IbPRIA 2015, Santiago de Compostela, Spain, June 17-19, 2015, Proceedings es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;9117
dc.rights Reserva de todos los derechos es_ES
dc.subject Clustering es_ES
dc.subject k-means es_ES
dc.subject Continuous vector spaces es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Sentence clustering using continuous vector space representation es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-319-19390-8 49
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 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007/978-3-319-19390-8_49 es_ES
dc.description.upvformatpinicio 432 es_ES
dc.description.upvformatpfin 440 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 290795 es_ES


This item appears in the following Collection(s)

Show simple item record