| Identifying appropriate support for propositions in online user comments J Park, C Cardie Proceedings of the first workshop on argumentation mining, 29-38, 2014 | 176 | 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 | 139 | 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 | 114 | 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 | 60 | 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 | 44 | 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 | 40 | 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 | 33 | 2017 |
| 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 |
| 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 | 30 | 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 | 26 | 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 | 21 | 2012 |
| 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 | 9 | 2016 |
| 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 arXiv preprint arXiv:2305.14152, 2023 | 7 | 2023 |
| 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 | 6 | 2023 |
| 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 | 5 | 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 | 5 | 2021 |
| 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 | 4 | 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 | 4 | 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 | 4 | 2022 |
| Assess: A tool for assessing the support structures of arguments in user comments J Park, C Cardie Computational Models of Argument, 473-474, 2014 | 4 | 2014 |
Claire CardieProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
