KEViN: A Knowledge Enhanced Validity and Novelty Classifier for Arguments. Saadat-Yazdi, A., Li, X., Chausson, S., Belle, V., Ross, B., Pan, J. Z., & Kökciyan, N. In Lapesa, G., Schneider, J., Jo, Y., & Saha, S., editors, Proceedings of the 9th Workshop on Argument Mining, ArgMining@COLING 2022, Online and in Gyeongju, Republic of Korea, October 12 - 17, 2022, pages 104–110, 2022. International Conference on Computational Linguistics.
KEViN: A Knowledge Enhanced Validity and Novelty Classifier for Arguments [link]Paper  bibtex   
@inproceedings{DBLP:conf/argmining/Saadat-YazdiLCB21,
  author       = {Ameer Saadat{-}Yazdi and
                  Xue Li and
                  Sandrine Chausson and
                  Vaishak Belle and
                  Bj{\"{o}}rn Ross and
                  Jeff Z. Pan and
                  Nadin K{\"{o}}kciyan},
  editor       = {Gabriella Lapesa and
                  Jodi Schneider and
                  Yohan Jo and
                  Sougata Saha},
  title        = {KEViN: {A} Knowledge Enhanced Validity and Novelty Classifier for
                  Arguments},
  booktitle    = {Proceedings of the 9th Workshop on Argument Mining, ArgMining@COLING
                  2022, Online and in Gyeongju, Republic of Korea, October 12 - 17,
                  2022},
  pages        = {104--110},
  publisher    = {International Conference on Computational Linguistics},
  year         = {2022},
  url          = {https://aclanthology.org/2022.argmining-1.9},
  timestamp    = {Mon, 26 Jun 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/argmining/Saadat-YazdiLCB21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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