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Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.

H. Li, Y. Wu, V. Schlegel, R. Batista-Navarro, T. Nguyen, A. Kashyap, X. Zeng, D. Beck, S. Winkler, and G. Nenadic. BioNLP@ACL, page 503-509. Association for Computational Linguistics, (2023)

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Ping Wu

Ping Yu

Yu Wu

Wei-Ping Wu

Other publications of authors with the same name

EDU-level Extractive Summarization with Varying Summary Lengths.Y. Wu, C. Tseng, J. Shang, S. Mao, G. Nenadic, and X. Zeng. CoRR, (2022)PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.H. Li, Y. Wu, V. Schlegel, R. Batista-Navarro, T. Nguyen, A. Kashyap, X. Zeng, D. Beck, S. Winkler, and G. Nenadic. CoRR, (2023)EDU-level Extractive Summarization with Varying Summary Lengths.Y. Wu, C. Tseng, J. Shang, S. Mao, G. Nenadic, and X. Zeng. EACL (Findings), page 1610-1622. Association for Computational Linguistics, (2023)Construction Cost Index Prediction: A Visibility Graph Network Method.S. Mao, C. Tseng, J. Shang, Y. Wu, and X. Zeng. IJCNN, page 1-6. IEEE, (2021)UPANets: Learning from the Universal Pixel Attention Networks.C. Tseng, S. Lee, J. Feng, S. Mao, Y. Wu, J. Shang, M. Tseng, and X. Zeng. CoRR, (2021)Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.H. Li, Y. Wu, V. Schlegel, R. Batista-Navarro, T. Nguyen, A. Kashyap, X. Zeng, D. Beck, S. Winkler, and G. Nenadic. BioNLP@ACL, page 503-509. Association for Computational Linguistics, (2023)On Cross-Domain Pre-Trained Language Models for Clinical Text Mining: How Do They Perform on Data-Constrained Fine-Tuning?Y. Wu, L. Han, V. Antonini, and G. Nenadic. CoRR, (2022)PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records.V. Schlegel, H. Li, Y. Wu, A. Subramanian, T. Nguyen, A. Kashyap, D. Beck, X. Zeng, R. Batista-Navarro, S. Winkler and 1 other author(s). CLEF (Working Notes), volume 3497 of CEUR Workshop Proceedings, page 1668-1679. CEUR-WS.org, (2023)The Benefits of Network Externality by Social Network Site.S. Chen, and Y. Wu. IIAI-AAI, page 242-246. IEEE Computer Society, (2014)Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition.S. Belkadi, L. Han, Y. Wu, and G. Nenadic. IEEE Big Data, page 3660-3669. IEEE, (2023)

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Ping Wu

Ping Wu

Ping Yu

Yu Wu

Wei-Ping Wu

Other publications of authors with the same name

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