This repository contains the code and data for the paper "Argument Quality Prediction for Ranking Documents", which describes the contribution of Team Renji Abarai to Touché 2023, task 1. The paper is available at https://webis.de/downloads/publications/papers/plenz_2023.pdf.

Please reach out if you have any questions or comments: plenz@cl.uni-heidelberg.de

If you use the code or data in your research, please cite the paper as follows:

@InProceedings{plenz-etal-2023-argument,
  author =                   {Moritz Plenz and Raphael Buchm{\"u}ller and Alexander Bondarenko},
  booktitle =                {Working Notes Papers of the CLEF 2023 Evaluation Labs},
  editor =                   {Mohammad Aliannejadi and Guglielmo Faggioli and Nicola Ferro and Michalis Vlachos},
  month =                    sep,
  numpages =                 12,
  publisher =                {CEUR-WS.org},
  series =                   {CEUR Workshop Proceedings},
  site =                     {Thessaloniki, Greece},
  title =                    {{Argument Quality Prediction for Ranking Documents}},
  todo =                     {url, videourl, volume},
  year =                     2023
}