| Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1757 | 2023 |
| Self-citation is the hallmark of productive authors, of any gender S Mishra, BD Fegley, J Diesner, VI Torvik PloS one 13 (9), e0195773, 2018 | 135 | 2018 |
| Image cropping on twitter: Fairness metrics, their limitations, and the importance of representation, design, and agency K Yee, U Tantipongpipat, S Mishra Proceedings of the ACM on human-computer interaction 5 (CSCW2), 1-24, 2021 | 68 | 2021 |
| 3Idiots at HASOC 2019: Fine-tuning Transformer Neural Networks for Hate Speech Identification in Indo-European Languages S Mishra, S Mishra Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation 2517 …, 2019 | 57 | 2019 |
| Bigbio: A framework for data-centric biomedical natural language processing J Fries, L Weber, N Seelam, G Altay, D Datta, S Garda, S Kang, R Su, ... Advances in Neural Information Processing Systems 35, 25792-25806, 2022 | 56 | 2022 |
| Semi-supervised named entity recognition in noisy-text S Mishra, J Diesner Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT), 203-212, 2016 | 56 | 2016 |
| Assessing demographic bias in named entity recognition S Mishra, S He, L Belli arXiv preprint arXiv:2008.03415, 2020 | 48 | 2020 |
| Multilingual Joint Fine-tuning of Transformer models for identifying Trolling, Aggression and Cyberbullying at TRAC 2020 S Mishra, S Prasad, S Mishra Proceedings of the second workshop on trolling, aggression and cyberbullying …, 2020 | 33 | 2020 |
| Quantifying Conceptual Novelty in the Biomedical Literature S Mishra, VI Torvik D-Lib Magazine 22 (9/10), 2016 | 28 | 2016 |
| Exploring multi-task multi-lingual learning of transformer models for hate speech and offensive speech identification in social media S Mishra, S Prasad, S Mishra SN Computer Science 2, 1-19, 2021 | 27 | 2021 |
| Multi-dataset-multi-task neural sequence tagging for information extraction from tweets S Mishra Proceedings of the 30th ACM Conference on Hypertext and Social Media, 283-284, 2019 | 25 | 2019 |
| Sentiment analysis with incremental human-in-the-loop learning and lexical resource customization S Mishra, J Diesner, J Byrne, E Surbeck proceedings of the 26th ACM conference on Hypertext & Social Media, 323-325, 2015 | 23 | 2015 |
| Americans ‘support’the idea of tuition-free college: An exploration of sentiment and political identity signals otherwise DA Collier, S Mishra, DA Houston, BO Hensley, ND Hartlep Journal of Further and Higher Education 43 (3), 347-362, 2019 | 17 | 2019 |
| Detecting the Correlation between Sentiment and User-level as well as Text-Level Meta-data from Benchmark Corpora S Mishra, J Diesner Proceedings of the 29th on Hypertext and Social Media, 2-10, 2018 | 17 | 2018 |
| Using Socio-Semantic Network Analysis for Assessing the Impact of Documentaries J Diesner, A Aleyasen, J Kim, S Mishra, K Soltani WIN (Workshop on Information in Networks), New York, NY, 2013 | 16 | 2013 |
| Enthusiasm and Support: Alternative Sentiment Classification for Social Movements on Social Media S Mishra (UIUC), S Agarwal (UIUC), J Guo (UIUC), K Phelps (UIUC), ... ACM Web Science, 261-262, 2014 | 14* | 2014 |
| Tweetnerd-end to end entity linking benchmark for tweets S Mishra, A Saini, R Makki, S Mehta, A Haghighi, A Mollahosseini Advances in Neural Information Processing Systems 35, 1419-1433, 2022 | 12 | 2022 |
| LMSOC: An approach for socially sensitive pretraining V Kulkarni, S Mishra, A Haghighi arXiv preprint arXiv:2110.10319, 2021 | 12 | 2021 |
| WikiCSSH: extracting computer science subject headings from Wikipedia K Han, P Yang, S Mishra, J Diesner International Conference on Theory and Practice of Digital Libraries, 207-218, 2020 | 12 | 2020 |
| ConText: Network Construction from Texts [Software] J Diesner, A Aleyasen, CL Chin, S Mishra, K Soltani, L Tao https://github.com/uiuc-ischool-scanr/ConText, 2015 | 12 | 2015 |
Jana DiesnerProfessor, Technical University of Munich & Affiliate Associate Professor, UIUCVerified email at tum.de
