A Unified Representation and a Decoupled Deep Learning Architecture for Argumentation Mining of Students' Persuasive Essays

Muhammad Tawsif Sazid, Robert E. Mercer. A Unified Representation and a Decoupled Deep Learning Architecture for Argumentation Mining of Students' Persuasive Essays. In Gabriella Lapesa, Jodi Schneider, Yohan Jo, Sougata Saha, editors, Proceedings of the 9th Workshop on Argument Mining, ArgMining@COLING 2022, Online and in Gyeongju, Republic of Korea, October 12 - 17, 2022. pages 74-83, International Conference on Computational Linguistics, 2022. [doi]

@inproceedings{SazidM21,
  title = {A Unified Representation and a Decoupled Deep Learning Architecture for Argumentation Mining of Students' Persuasive Essays},
  author = {Muhammad Tawsif Sazid and Robert E. Mercer},
  year = {2022},
  url = {https://aclanthology.org/2022.argmining-1.6},
  researchr = {https://researchr.org/publication/SazidM21},
  cites = {0},
  citedby = {0},
  pages = {74-83},
  booktitle = {Proceedings of the 9th Workshop on Argument Mining, ArgMining@COLING 2022, Online and in Gyeongju, Republic of Korea, October 12 - 17, 2022},
  editor = {Gabriella Lapesa and Jodi Schneider and Yohan Jo and Sougata Saha},
  publisher = {International Conference on Computational Linguistics},
}