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Query Expansion with Temporal Segmented Texts

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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorCraveiro, Olga
dc.contributor.authorMacedo, Joaquim
dc.contributor.authorMadeira, Henrique
dc.date.accessioned2026-07-15T13:47:34Z
dc.date.available2026-07-15T13:47:34Z
dc.date.issued2014
dc.descriptionPart of the book series: Lecture Notes in Computer Science (LNISA,volume 8416).
dc.description.abstractThe use of temporal data extracted from text, to improve the effectiveness of Information Retrieval systems, has recently been the focus of important research work. Our research hypothesis is that the usage of the temporal relationship between words improves the Information Retrieval results. For this purpose, the texts are temporally segmented to establish a relationship between words and dates found in texts. This approach was applied in Query Expansion systems, using a collection with Portuguese newspaper texts. The results showed that the use of the temporality of words can enhance retrieval effectiveness. In particular for time-sensitive queries, we achieved 9.5% improvement in Precision@10. To our knowledge, this is the first work using temporal text segmentation to improve retrieval results.eng
dc.description.sponsorshipFCT - Fundação para a Ciência e Tecnologia, within the scope of the projects PEst-OE/EE/UI0319/2014 and PEst-OE/EE/UI0326/2014.
dc.identifier.citationCraveiro, O., Macedo, J., Madeira, H. (2014). Query Expansion with Temporal Segmented Texts. In: de Rijke, M., et al. Advances in Information Retrieval. ECIR 2014. Lecture Notes in Computer Science, vol 8416. Springer, Cham. https://doi.org/10.1007/978-3-319-06028-6_65
dc.identifier.doi10.1007/978-3-319-06028-6_65
dc.identifier.isbn9783319060279
dc.identifier.isbn9783319060286
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/10400.8/16602
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relation"PEst-OE/EE/UI0326/2014"
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-319-06028-6_65
dc.relation.ispartofLecture Notes in Computer Science
dc.relation.ispartofAdvances in Information Retrieval
dc.rights.uriN/A
dc.subjectQuery expansion
dc.subjecttemporal information retrieval
dc.subjectinformation retrieval
dc.subjecttemporal segmented texts
dc.subjectsearch evaluation
dc.titleQuery Expansion with Temporal Segmented Textseng
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage617
oaire.citation.startPage612
oaire.citation.titleAdvances in Information Retrieval, 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014, Proceedings Conference proceedings
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCraveiro
person.givenNameOlga
person.identifier.orcid0000-0001-5307-0465
relation.isAuthorOfPublicationd116d598-4bbf-4608-b721-7500260b918f
relation.isAuthorOfPublication.latestForDiscoveryd116d598-4bbf-4608-b721-7500260b918f

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