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dc.date.accessioned2021-01-05T00:27:23Z
dc.date.available2021-01-05T00:27:23Z
dc.date.issued2020-10-01es_MX
dc.identifier.isbn2327-0411es_MX
dc.identifier.urihttp://cathi.uacj.mx/20.500.11961/16617
dc.description.abstractDatabases and corpora are essential resources to evaluate the performance of Natural Language Interfaces to Databases (NLIDB). The Geobase database and the Geoquery corpus (Geoquery250 and Geoquery880) are among the most commonly used. In this chapter, the authors analyze both resources to offer two elaborate resources: 1) N-Geobase, which is a relational database, and 2) the corpus Geoquery270. The former follows the standard normalization procedure, then N-Geobase has a schema similar to enterprise databases. Geoquery270 consists of 270 queries selected from Geoquery880, preserving the same kind of natural language problems as Geoquery880, but with more challenging issues for an NLIDB than Geoquery250. To evaluate the new resources, they compared the performance of the NLIDB using Geoquery270 and Geoquery250. The results indicated that Geoquery270 was the harder corpus, while Geoquery250 is the easier one. Consequently, this chapter offers a broader range of resources to NLIDB designers.es_MX
dc.description.urihttps://www.igi-global.com/chapter/two-new-challenging-resources-to-evaluate-natural-language-interfaces-to-databases-generated-based-on-geobase-and-geoquery/263097es_MX
dc.language.isoen_USes_MX
dc.publisherIGI Globales_MX
dc.relation.ispartofProducto de investigación IITes_MX
dc.relation.ispartofInstituto de Ingeniería y Tecnologíaes_MX
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 México*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/mx/*
dc.subject.otherinfo:eu-repo/classification/cti/1es_MX
dc.titleTwo New Challenging Resources to Evaluate Natural Language Interfaces to Databases Generated Based on Geobase and Geoqueryes_MX
dc.typeCapítulo de libroes_MX
dcterms.thumbnailhttp://ri.uacj.mx/vufind/thumbnails/rupiiit.pnges_MX
dcrupi.institutoInstituto de Ingeniería y Tecnologíaes_MX
dcrupi.cosechableSies_MX
dcrupi.subtipoInvestigaciónes_MX
dcrupi.nopagina70-100es_MX
dcrupi.alcanceInternacionales_MX
dcrupi.paisEstados Unidoses_MX
dc.identifier.doi10.4018/978-1-7998-4730-4.ch004es_MX
dc.contributor.coauthorSánchez Solís, Julia Patricia
dcrupi.estadoPennsylvaniaes_MX
dc.lgacSin línea de generaciónes_MX
dc.cuerpoacademicoSin cuerpo académicoes_MX
dcrupi.titulolibroHandbook of Research on Natural Language Processing and Smart Service Systemses_MX
dc.contributor.authorexternoGonzález-Barbosa, Juan Javier
dc.contributor.coauthorexternoSolís, Juan Frausto
dc.contributor.coauthorexternoSánchez-Hernández, Juan Paulo


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