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The WebNLG Challenge: Generating Text from RDF Data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Claire Gardent
  • Anastasia Shimorina
  • Shashi Narayan
  • Laura Perez-Beltrachini

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Documents

https://aclweb.org/anthology/papers/W/W17/W17-3518/
Original languageEnglish
Title of host publicationProceedings of the 10th International Natural Language Generation conference (INLG)
PublisherACL Anthology
Pages124–133
Number of pages10
DOIs
Publication statusPublished - 7 Sep 2017
Event10th International Conference on Natural Language Generation - Santiago de Compostela, Spain
Duration: 4 Sep 20177 Sep 2017
https://eventos.citius.usc.es/inlg2017/index

Conference

Conference10th International Conference on Natural Language Generation
Abbreviated titleINLG 2017
CountrySpain
CitySantiago de Compostela
Period4/09/177/09/17
Internet address

Abstract

The WebNLG challenge consists in mapping sets of RDF triples to text. It provides a common benchmark on which to train, evaluate and compare “microplanners”, i.e. generation systems that verbalise a given content by making a range of complex interacting choices including referring expression generation, aggregation, lexicalisation, surface realisation and sentence segmentation. In this paper, we introduce the microplanning task, describe data preparation, introduce our evaluation methodology, analyse participant results and provide a brief description of the participating systems.

Event

10th International Conference on Natural Language Generation

4/09/177/09/17

Santiago de Compostela, Spain

Event: Conference

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