Zhang, Yuhao

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports

Zhang, Y., Merck, D., Tsai, E., Manning, C. D., & Langlotz, C. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingMultimodal Machine Learning Applications

Cited by 171

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation

Miura, Y., Zhang, Y., Tsai, E., Langlotz, C., & Jurafsky, D. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 149

Learning to Summarize Radiology Findings

Zhang, Y., Ding, D. Y., Qian, T., Manning, C. D., & Langlotz, C. P. (2018) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 126

Learning to Summarize Radiology Findings

Zhang, Y., Ding, D. Y., Qian, T., Manning, C. D., & Langlotz, C. P. (2018) · Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 126

Biomedical and clinical English model packages for the Stanza Python NLP library

Zhang, Y., Zhang, Y., Qi, P., Manning, C. D., & Langlotz, C. P. (2021) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesNatural Language Processing Techniques

Cited by 112

Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations

Qi, P., Zhang, Y., & Manning, C. D. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Speech and dialogue systemsTopic Modeling

Cited by 23