| Identifying appropriate support for propositions in online user comments J Park, C Cardie Proceedings of the first workshop on argumentation mining, 29-38, 2014 | 192 | 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 | 143 | 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 | 139 | 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 | 82 | 2018 |
| 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 | 57 | 2023 |
| 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 | 54 | 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 | 44 | 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 | 38 | 2017 |
| 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 | 35 | 2015 |
| 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 | 32 | 2016 |
| Conditional Random Fields for Identifying Appropriate Types of Support for Propositions in Online User Comments J Park, A Katiyar, B Yang ACL, 2015 | 32 | 2015 |
| 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 | 26 | 2023 |
| Tree of clarifications: Answering ambiguous questions with retrieval-augmented large language models G Kim, S Kim, B Jeon, J Park, J Kang arXiv preprint arXiv:2310.14696, 2023 | 25 | 2023 |
| 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 | 25 | 2012 |
| 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 | 21 | 2022 |
| 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 | 15 | 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 | 13 | 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 | 10 | 2023 |
| 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 | 10 | 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 | 10 | 2021 |
Claire CardieProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
