---
_id: '55073'
abstract:
- lang: eng
  text: The RDF-to-text task has recently gained substantial attention due to the
    continuous growth of RDF knowledge graphs in number and size. Recent studies have
    focused on systematically comparing RDF-to-text approaches on benchmarking datasets
    such as WebNLG. Although some evaluation tools have already been proposed for
    text generation, none of the existing solutions abides by the Findability, Accessibility,
    Interoperability, and Reusability (FAIR) principles and involves RDF data for
    the knowledge extraction task. In this paper, we present BENG, a FAIR benchmarking
    platform for Natural Language Generation (NLG) and Knowledge Extraction systems
    with focus on RDF data. BENG builds upon the successful benchmarking platform
    GERBIL, is opensource and is publicly available along with the data it contains.
author:
- first_name: Diego
  full_name: Moussalem, Diego
  last_name: Moussalem
- first_name: Paramjot
  full_name: Kaur, Paramjot
  last_name: Kaur
- first_name: Thiago
  full_name: Castro-Ferreira, Thiago
  last_name: Castro-Ferreira
- first_name: Chris
  full_name: van der Lee, Chris
  last_name: van der Lee
- first_name: Conrads Felix
  full_name: Shimorina, Conrads Felix
  last_name: Shimorina
- first_name: Felix
  full_name: Conrads, Felix
  last_name: Conrads
- first_name: René
  full_name: Speck, René
  last_name: Speck
- first_name: Claire
  full_name: Gardent, Claire
  last_name: Gardent
- first_name: Simon
  full_name: Mille, Simon
  last_name: Mille
- first_name: Nikolai
  full_name: Ilinykh, Nikolai
  last_name: Ilinykh
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  last_name: Ngonga Ngomo
citation:
  ama: 'Moussalem D, Kaur P, Castro-Ferreira T, et al. A general benchmarking framework
    for text generation. In: <i>Proceedings of the 3rd WebNLG Workshop on Natural
    Language Generation from the Semantic Web (WebNLG+)</i>. Association for Computational
    Linguistics; 2020:27-33.'
  apa: Moussalem, D., Kaur, P., Castro-Ferreira, T., van der Lee, C., Shimorina, C.
    F., Conrads, F., Speck, R., Gardent, C., Mille, S., Ilinykh, N., &#38; Ngonga
    Ngomo, A.-C. (2020). A general benchmarking framework for text generation. <i>Proceedings
    of the 3rd WebNLG Workshop on Natural Language Generation from the Semantic Web
    (WebNLG+)</i>, 27–33.
  bibtex: '@inproceedings{Moussalem_Kaur_Castro-Ferreira_van der Lee_Shimorina_Conrads_Speck_Gardent_Mille_Ilinykh_et
    al._2020, place={Dublin, Ireland}, title={A general benchmarking framework for
    text generation}, booktitle={Proceedings of the 3rd WebNLG Workshop on Natural
    Language Generation from the Semantic Web (WebNLG+)}, publisher={Association for
    Computational Linguistics}, author={Moussalem, Diego and Kaur, Paramjot and Castro-Ferreira,
    Thiago and van der Lee, Chris and Shimorina, Conrads Felix and Conrads, Felix
    and Speck, René and Gardent, Claire and Mille, Simon and Ilinykh, Nikolai and
    et al.}, year={2020}, pages={27–33} }'
  chicago: 'Moussalem, Diego, Paramjot Kaur, Thiago Castro-Ferreira, Chris van der
    Lee, Conrads Felix Shimorina, Felix Conrads, René Speck, et al. “A General Benchmarking
    Framework for Text Generation.” In <i>Proceedings of the 3rd WebNLG Workshop on
    Natural Language Generation from the Semantic Web (WebNLG+)</i>, 27–33. Dublin,
    Ireland: Association for Computational Linguistics, 2020.'
  ieee: D. Moussalem <i>et al.</i>, “A general benchmarking framework for text generation,”
    in <i>Proceedings of the 3rd WebNLG Workshop on Natural Language Generation from
    the Semantic Web (WebNLG+)</i>, 2020, pp. 27–33.
  mla: Moussalem, Diego, et al. “A General Benchmarking Framework for Text Generation.”
    <i>Proceedings of the 3rd WebNLG Workshop on Natural Language Generation from
    the Semantic Web (WebNLG+)</i>, Association for Computational Linguistics, 2020,
    pp. 27–33.
  short: 'D. Moussalem, P. Kaur, T. Castro-Ferreira, C. van der Lee, C.F. Shimorina,
    F. Conrads, R. Speck, C. Gardent, S. Mille, N. Ilinykh, A.-C. Ngonga Ngomo, in:
    Proceedings of the 3rd WebNLG Workshop on Natural Language Generation from the
    Semantic Web (WebNLG+), Association for Computational Linguistics, Dublin, Ireland,
    2020, pp. 27–33.'
date_created: 2024-07-04T11:59:39Z
date_updated: 2026-10-15T11:47:02Z
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2020.webnlg-1.3.pdf
page: 27-33
place: Dublin, Ireland
publication: Proceedings of the 3rd WebNLG Workshop on Natural Language Generation
  from the Semantic Web (WebNLG+)
publisher: Association for Computational Linguistics
status: public
title: A general benchmarking framework for text generation
type: conference
user_id: '14972'
year: '2020'
...