| A survey of word embeddings for clinical text FK Khattak, S Jeblee, C Pou-Prom, M Abdalla, C Meaney, F Rudzicz Journal of Biomedical Informatics 100, 100057, 2019 | 240 | 2019 |
| Quality control of crowd labeling through expert evaluation Faiza Khan Khattak, Ansaf Salleb-Aouissi Proceedings of the NIPS 2nd Workshop on Computational Social Science and the …, 2011 | 81 | 2011 |
| Extracting relevant information from physician-patient dialogues for automated clinical note taking S Jeblee, FK Khattak, N Crampton, M Mamdani, F Rudzicz Proceedings of the tenth international workshop on health text mining and …, 2019 | 19 | 2019 |
| Diving into a large corpus of pediatric notes A Salleb-Aouissi, A Radeva, R Passonneau, A Tomar, D Waltz Proc. ICMLWorkshop on Learning from Unstructured Clinical Text, 2011 | 11 | 2011 |
| Improving Crowd Labeling through Expert Evaluation. Faiza Khan Khattak, Ansaf Salleb-Aouissi AAAI Spring Symposium: Wisdom of the Crowd, 2012 | 10* | 2012 |
| Robust crowd labeling using little expertise Faiza Khan Khattak, Ansaf Salleb-Aouissi International Conference on Discovery Science, 94-109, 2013 | 9* | 2013 |
| AutoScribe: extracting clinically pertinent information from patient-clinician dialogues FK Khattak, S Jeblee, N Crampton, M Mamdani, F Rudzicz MEDINFO 2019: Health and Wellbeing e-Networks for All, 1512-1513, 2019 | 8 | 2019 |
| Toward a Robust and Universal Crowd Labeling Framework Faiza Khan Khattak Columbia University, 2017 | 8 | 2017 |
| Can Instruction Fine-Tuned Language Models Identify Social Bias through Prompting? O Dige, JJ Tian, D Emerson, FK Khattak arXiv preprint arXiv:2307.10472, 2023 | 3 | 2023 |
| Soft-prompt Tuning for Large Language Models to Evaluate Bias JJ Tian, D Emerson, SZ Miyandoab, D Pandya, L Seyyed-Kalantari, ... arXiv preprint arXiv:2306.04735, 2023 | 3 | 2023 |
| An experimental evaluation of transformer-based language models in the biomedical domain P Grouchy, S Jain, M Liu, K Wang, M Tian, N Arora, H Ngai, FK Khattak, ... arXiv preprint arXiv:2012.15419, 2020 | 3 | 2020 |
| Interpretable stereotype identification through reasoning JJ Tian, O Dige, D Emerson, FK Khattak arXiv preprint arXiv:2308.00071, 2023 | 2 | 2023 |
| Systems and methods for extracting information from a dialogue FK KHATTAK, F Rudzicz, M Mamdani, N Crampton, S Jeblee US Patent App. 17/675,189, 2022 | 2 | 2022 |
| Predicting ICU transfers using text messages between nurses and doctors FK Khattak, C Pou-Prom, R Wu, F Rudzicz Proceedings of the 2nd Clinical Natural Language Processing Workshop, 89-94, 2019 | 2 | 2019 |
| Toward a robust crowd-labeling framework using expert evaluation and pairwise comparison FK Khattak, A Salleb-Aouissi arXiv preprint arXiv:1607.02174, 2016 | 2 | 2016 |
| Efficient Evaluation of Bias in Large Language Models through Prompt Tuning JJ Tian, D Emerson, D Pandya, L Seyyed-Kalantari, F Khattak Socially Responsible Language Modelling Research, 2023 | 1 | 2023 |
| Reevaluating Bias Detection in Language Models: The Role of Implicit Norm F Kohankhaki, JJ Tian, D Emerson, L Seyyed-Kalantari, FK Khattak arXiv preprint arXiv:2404.03471, 2024 | | 2024 |
| Using Chain-of-Thought Prompting for Interpretable Recognition of Social Bias JJ Tian, O Dige, D Emerson, F Khattak Socially Responsible Language Modelling Research, 2023 | | 2023 |
| MLHOps: Machine Learning for Healthcare Operations FK Khattak, V Subasri, A Krishnan, E Dolatabadi, D Pandya, ... arXiv preprint arXiv:2305.02474, 2023 | | 2023 |
| Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support S Obadinma, FK Khattak, S Wang, T Sidhom, E Lau, S Robertson, J Niu, ... arXiv preprint arXiv:2302.03222, 2023 | | 2023 |
Frank RudziczDalhousie University, Computer Science ; Vector Institute for Artificial IntelligenceVerified email at dal.ca
