Enriching the WebNLG corpus
TL
TL;DR
The enrichment of WebNLG corpus is described with the aim to further extend its usefulness as a resource for evaluating common NLG tasks, including Discourse Ordering, Lexicalization and Referring Expression Generation.
Abstract
This paper describes the enrichment of WebNLG corpus (Gardent et al., 2017a,b), with the aim to further extend its usefulness as a resource for evaluating common NLG tasks, including Discourse Ordering, Lexicalization and Referring Expression Generation. We also produce a silver-standard German translation of the corpus to enable the exploitation of NLG approaches to other languages than English. The enriched corpus is publicly available.
References21 items
1
Vancouver, Canada
2
The First Multilingual Surface Realisation Shared Task (SR’18): Overview and Evaluation Results
3
NeuralREG: An end-to-end approach to referring expression generation
4
RDF2PT: Generating Brazilian Portuguese Texts from RDF Data
5