Published December 15, 2020
| Version v1
Conference paper
Open
The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task Overview and Evaluation Results (WebNLG+ 2020)
Creators
- 1. Federal University of Minas Gerais, Brazil
- 2. CNRS / LORIA, France
- 3. University of Gothenburg, Sweden
- 4. Tilburg University, The Netherlands
- 5. Universitat Pompeu Fabra, Spain
- 6. Paderborn University, Germany
- 7. UnUniversité de Lorraine / LORIA, France
Description
WebNLG+ offers two challenges: (i) mapping sets of RDF triples to English or Russian text (generation) and (ii) converting English or Russian text to sets of RDF triples (semantic parsing). Compared to the eponymous WebNLG challenge, WebNLG+ provides an extended dataset that enable the training, evaluation, and comparison of microplanners and semantic parsers. In this paper, we present the results of the generation and semantic parsing task for both English and Russian and provide a brief description of the participating systems.
Notes
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2020.webnlg-1.7.pdf
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