The WebNLG Challenge: Generating Text from RDF Data

WS 2017 Claire GardentAnastasia ShimorinaShashi NarayanLaura Perez-Beltrachini

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... (read more)

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