Joonsuk Park
Joonsuk Park
Associate Professor, University of Richmond
Verified email at - Homepage
Cited by
Cited by
Identifying appropriate support for propositions in online user comments
J Park, C Cardie
Proceedings of the first workshop on argumentation mining, 29-38, 2014
Improving implicit discourse relation recognition through feature set optimization
J Park, C Cardie
Proceedings of the 13th Annual Meeting of the Special Interest Group on …, 2012
Argument mining with structured SVMs and RNNs
V Niculae, J Park, C Cardie
Proceedings of the 55th Annual Meeting of Association for Computational …, 2017
A corpus of erulemaking user comments for measuring evaluability of arguments
J Park, C Cardie
Proceedings of the Eleventh International Conference on Language Resources …, 2018
Automated fact-checking of claims from Wikipedia
A Sathe, S Ather, TM Le, N Perry, J Park
Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020
Toward machine-assisted participation in erulemaking: An argumentation model of evaluability
J Park, C Blake, C Cardie
Proceedings of the 15th International Conference on Artificial Intelligence …, 2015
Using argumentative structure to interpret debates in online deliberative democracy and erulemaking
J Lawrence, J Park, K Budzynska, C Cardie, B Konat, C Reed
ACM Transactions on Internet Technology (TOIT) 17 (3), 1-22, 2017
Conditional Random Fields for Identifying Appropriate Types of Support for Propositions in Online User Comments
J Park, A Katiyar, B Yang
ACL, 2015
Automatic Identification of Rhetorical Questions
S Bhattasali, J Cytryn, E Feldman, J Park
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
Memory-efficient fine-tuning of compressed large language models via sub-4-bit integer quantization
J Kim, JH Lee, S Kim, J Park, KM Yoo, SJ Kwon, D Lee
Advances in Neural Information Processing Systems 36, 2023
A corpus of argument networks: Using graph properties to analyse divisive issues
B Konat, J Lawrence, J Park, K Budzynska, C Reed
Tenth International Conference on Language Resources and Evaluation, 3899-3906, 2016
Facilitative moderation for online participation in eRulemaking
J Park, S Klingel, C Cardie, M Newhart, C Farina, JJ Vallbé
Proceedings of the 13th Annual International Conference on Digital …, 2012
KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application
H Lee, S Hong, J Park, T Kim, G Kim, JW Ha
arXiv preprint arXiv:2305.17701, 2023
Critic-Guided Decoding for Controlled Text Generation
M Kim, H Lee, KM Yoo, J Park, H Lee, K Jung
arXiv preprint arXiv:2212.10938, 2022
The effects of peer-and self-assessment on the assessors
J Park, K Williams
Proceedings of the 47th ACM Technical Symposium on Computing Science …, 2016
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created Through Human-Machine Collaboration
H Lee, S Hong, J Park, T Kim, M Cha, Y Choi, BP Kim, G Kim, EJ Lee, ...
arXiv preprint arXiv:2305.17696, 2023
Plug-and-play adaptation for continuously-updated qa
K Lee, W Han, S Hwang, H Lee, J Park, SW Lee
arXiv preprint arXiv:2204.12785, 2022
Argument Mining on Twitter: A Case Study on the Planned Parenthood Debate
MMA Bhatti, AS Ahmad, J Park
Proceedings of the 8th Workshop on Argument Mining, 1-11, 2021
Masked summarization to generate factually inconsistent summaries for improved factual consistency checking
H Lee, KM Yoo, J Park, H Lee, K Jung
arXiv preprint arXiv:2205.02035, 2022
Argument Mining for Review Helpfulness Prediction
Z Chen, DV do Amarante, J Donaldson, Y Jo, J Park
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
The system can't perform the operation now. Try again later.
Articles 1–20