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. 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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