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Identifying top relevant dates for implicit time sensitive queries

2017Journal article Restricted access
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dc.contributor.authorCampos, Ricardo
dc.contributor.authorDias, Gaël
dc.contributor.authorJorge, Alípio
dc.contributor.authorNunes, Célia
dc.date.accessioned2020-02-20T10:49:47Z
dc.date.available2020-02-20T10:49:47Z
dc.date.issued2017
dc.description.abstractDespite a clear improvement of search and retrieval temporal applications, current search engines are still mostly unaware of the temporal dimension. Indeed, in most cases, systems are limited to offering the user the chance to restrict the search to a particular time period or to simply rely on an explicitly specified time span. If the user is not explicit in his/her search intents (e.g., ‘‘philip seymour hoffman’’) search engines may likely fail to present an overall historic perspective of the topic. In most such cases, they are limited to retrieving the most recent results. One possible solution to this shortcoming is to understand the different time periods of the query. In this context, most state-of-the-art methodologies consider any occurrence of temporal expressions in web documents and other web data as equally relevant to an implicit time sensitive query. To approach this problem in a more adequate manner, we propose in this paper the detection of relevant temporal expressions to the query. Unlike previous metadata and query log-based approaches, we show how to achieve this goal based on information extracted from document content. However, instead of simply focusing on the detection of the most obvious date we are also interested in retrieving the set of dates that are relevant to the query. Towards this goal, we define a general similarity measure that makes use of co-occurrences of words and years based on corpus statistics and a classification methodology that is able to identify the set of top relevant dates for a given implicit time sensitive query, while filtering out the non-relevant ones. Through extensive experimental evaluation, we mean to demonstrate that our approach offers promising results in the field of temporal information retrieval (T-IR), as demonstrated by the experiments conducted over several baselines on web corpora collections.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/s10791-017-9302-1pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/9411
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectTemporal information retrievalpt_PT
dc.subjectImplicit time sensitive queriespt_PT
dc.subjectTemporal query understandingpt_PT
dc.subjectRelevant temporal expressionspt_PT
dc.titleIdentifying top relevant dates for implicit time sensitive queriespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMAT%2F00212%2F2013/PT
oaire.citation.endPage398pt_PT
oaire.citation.issue4pt_PT
oaire.citation.startPage363pt_PT
oaire.citation.titleInformation Retrieval Journalpt_PT
oaire.citation.volume20pt_PT
oaire.fundingStream5876
person.familyNameCampos
person.familyNameGuedes Jorge
person.familyNameNunes
person.givenNameRicardo
person.givenNameAlípio Mário
person.givenNameCélia
person.identifierabU3flQAAAAJ
person.identifierA-1721-2008
person.identifierR-000-3NA
person.identifier.ciencia-id1617-7592-123C
person.identifier.ciencia-id331F-8628-261F
person.identifier.ciencia-idAC1F-3CA0-75FE
person.identifier.orcid0000-0002-8767-8126
person.identifier.orcid0000-0002-5475-1382
person.identifier.orcid0000-0003-0167-4851
person.identifier.ridH-1231-2016
person.identifier.scopus-author-id55938897400
person.identifier.scopus-author-id57194580125
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.embargofctRestrições editoriaispt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication10b2856e-b0ba-4947-8fe8-5cfd356e0c85
relation.isAuthorOfPublication253dec09-af6b-42f1-aef9-fcdf5f259352
relation.isAuthorOfPublication6c089279-689d-4566-b2ee-797ddbefbeab
relation.isAuthorOfPublication.latestForDiscovery10b2856e-b0ba-4947-8fe8-5cfd356e0c85
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