Natural Language Generation from Wikidata—Architecture, Scalability and Challenges
Kapitel i bok, 2026

We present an architecture for generation of Wikipedia articles in several languages from Wikidata. The articles cover the topics of countries, cities, people, universities and professions, and vary in size depending on the amount of available information. The architecture is based on the Grammatical Framework, but we made significant extensions to the framework in order to scale it up to the size of Wikidata. We describe the different scalability issues, and we discuss challenges arising from the current Wikidata structure.

Författare

Krasimir Angelov

Chalmers, Data- och informationsteknik, Funktionell programmering

Göteborgs universitet

Andrea Carrion del Fresno

Chalmers, Data- och informationsteknik, Funktionell programmering

Göteborgs universitet

Ekaterina Voloshina

Chalmers, Data- och informationsteknik, Funktionell programmering

Göteborgs universitet

Aarne Ranta

Chalmers, Data- och informationsteknik, Computing Science

Göteborgs universitet

Computational Linguistics, Information, Reasoning, and AI 2024

1-23
978-3-032-21143-9 (ISBN)

Ämneskategorier (SSIF 2025)

Språkbehandling och datorlingvistik

Datavetenskap (datalogi)

DOI

10.1007/978-3-032-21143-9_1

Mer information

Senast uppdaterat

2026-11-10