| Classification of Moral Foundations in Microblog Political Discourse K Johnson, D Goldwasser Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 93 | 2018 |
| Identifying stance by analyzing political discourse on twitter K Johnson, D Goldwasser Proceedings of the First Workshop on NLP and Computational Social Science, 66-75, 2016 | 60 | 2016 |
| " All I know about politics is what I read in Twitter": Weakly Supervised Models for Extracting Politicians’ Stances From Twitter K Johnson, D Goldwasser Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 49 | 2016 |
| Isoform-level microRNA-155 target prediction using RNA-seq N Deng, A Puetter, K Zhang, K Johnson, Z Zhao, C Taylor, EK Flemington, ... Nucleic acids research 39 (9), e61-e61, 2011 | 40 | 2011 |
| Ideological Phrase Indicators for Classification of Political Discourse Framing on Twitter K Johnson, IT Lee, D Goldwasser Proceedings of the Second Workshop on NLP and Computational Social Science …, 2017 | 30 | 2017 |
| Modeling of Political Discourse Framing on Twitter K Johnson, D Jin, D Goldwasser Eleventh International AAAI Conference on Web and Social Media, 2017 | 25 | 2017 |
| Requirements Engineering Techniques D Pan, D Zhu, K Johnson Internal Report. Department of Computer Science. University of Calgary. Canada, 2001 | 23 | 2001 |
| CLoSE: Contrastive Learning of Subframe Embeddings for Political Bias Classification of News Media MYJ Kim, K Johnson Proceedings of the 29th International Conference on Computational …, 2022 | 14 | 2022 |
| Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter K Johnson, D Jin, D Goldwasser Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 14 | 2017 |
| Di Jin, and Dan Goldwasser. 2017. Modeling of Political Discourse Framing on Twitter K Johnson Proc. of ICWSM, 0 | 11* | |
| Modeling Behavioral Aspects of Social Media Discourse for Moral Classification K Johnson, D Goldwasser Proceedings of the Third Workshop on Natural Language Processing and …, 2019 | 10 | 2019 |
| A data generation perspective to the mechanism of in-context learning H Mao, G Liu, Y Ma, R Wang, K Johnson, J Tang arXiv preprint arXiv:2402.02212, 2024 | 6 | 2024 |
| PurdueNLP at SemEval-2017 Task 1: Predicting semantic textual similarity with paraphrase and event embeddings IT Lee, M Goindani, C Li, D Jin, KM Johnson, X Zhang, ML Pacheco, ... Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 6 | 2017 |
| PAC-tuning: Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient Descent G Liu, Z Xue, X Zhang, KM Johnson, R Wang arXiv preprint arXiv:2310.17588, 2023 | 5 | 2023 |
| SPATA: a seeding and patching algorithm for de novo transcriptome assembly Z Zhao, TC Nguyen, N Deng, KM Johnson, D Zhu Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International …, 2011 | 5 | 2011 |
| Race, Gender, and Age Biases in Biomedical Masked Language Models M Kim, J Kim, K Johnson Findings of the Association for Computational Linguistics: ACL 2023, 11806-11815, 2023 | 3 | 2023 |
| Cryptocurrency Day Trading and Framing Prediction in Microblog Discourse APP Maule, K Johnson Proceedings of the Third Workshop on Economics and Natural Language …, 2021 | 3 | 2021 |
| Intrinsic self-correction for enhanced morality: An analysis of internal mechanisms and the superficial hypothesis G Liu, H Mao, J Tang, KM Johnson arXiv preprint arXiv:2407.15286, 2024 | 2 | 2024 |
| Is Moral Self-correction An Innate Capability of Large Language Models? A Mechanistic Analysis to Self-correction Z Qi, G Liu, KM Johnson, L Chen arXiv preprint arXiv:2410.20513, 2024 | 1 | 2024 |
| ABLE: Agency-BeLiefs Embedding to Address Stereotypical Bias through Awareness Instead of Obliviousness MYJ Kim, J Kim, K Johnson Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 1 | 2024 |
Dan GoldwasserPurdue University確認したメール アドレス: purdue.edu