Rumshisky, Anna

A primer in BERTology: What we know about how BERT works

Rogers, A., Kovaleva, O., & Rumshisky, A. (2020) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 1,552

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Lialin, V., Deshpande, V., Yao, X., & Rumshisky, A. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 88

MCN: A comprehensive corpus for medical concept normalization

Luo, Y.-F., Sun, W., & Rumshisky, A. (2019) · Journal of Biomedical Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 62

Towards Visual Dialog for Radiology

Kovaleva, O., Shivade, C., Kashyap, S., Kanjaria, K., Wu, J., Ballah, D., Coy, A., Karargyris, A., Guo, Y., Beymer, D. B., et al. (2020) · Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 38

Learning to Ask Like a Physician

Lehman, E., Lialin, V., Legaspi, K. E., Sy, A. J., Pile, P. T., Alberto, N. R., Ragasa, R. R., Puyat, C. V., Taliño, M. K., Alberto, I. R., et al. (2022) · Proceedings of the 4th Clinical Natural Language Processing Workshop

Biomedical Text Mining and OntologiesArtificial Intelligence in Healthcare and Education

Cited by 10