Two New Challenging Resources to Evaluate Natural Language Interfaces to Databases Generated Based on Geobase and Geoquery
Databases 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...
Guardat en:
| Altres autors: | , , , |
|---|---|
| Format: | Capítulo de libro |
| Idioma: | en_US |
| Publicat: |
IGI Global
2020
|
| Matèries: | |
| Accés en línia: | https://doi.org/10.4018/978-1-7998-4730-4.ch004 https://www.igi-global.com/chapter/two-new-challenging-resources-to-evaluate-natural-language-interfaces-to-databases-generated-based-on-geobase-and-geoquery/263097 |
| Etiquetes: |
Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|
| Sumari: | Databases 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. |
|---|