I am Xin Su, a fourth-year Ph.D. student at the University of Arizona. My advisor is Dr. Steven Bethard. I am interested in general/clinical natural language processing (information extraction, temporal reasoning, domain adaptation, and text generation).

In 2020, I obtained a master’s degree in computer science from Loyola University Chicago under the supervision of Dr. Dmitriy Dligach.

Publications

  • Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning [Paper]
    Xin Su, Tiep Le, Steven Bethard, Phillip Howard
    Proc. The 2024 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT2024)

  • Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering [Paper]
    Xin Su, Phillip Howard, Nagib Hakim, Steven Bethard
    Proc. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) Findings

  • A Comparison of Strategies for Source-Free Domain Adaptation [Paper]
    Xin Su, Yiyun Zhao and Steven Bethard
    Proc. The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022)

  • The University of Arizona at SemEval-2021 task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation [Paper]
    Xin Su, Yiyun Zhao and Steven Bethard
    Proc. The 15th International Workshop on Semantic Evaluation (SemEval) 2021

  • SemEval-2021 task 10: Source-free domain adaptation for semantic processing [Paper]
    Egoitz Laparra, Xin Su, Yiyun Zhao, Ozlem Uzuner, Timothy Miller and Steven Bethard
    Proc. The 15th International Workshop on Semantic Evaluation (SemEval) 2021

  • Classification of Chest Injury Severity Using Clinical Documents
    Sujay Kulshrestha, Dmitriy Dligach, Xin Su, Richard Gonzalez, Cara Joyce, Matthew M Churpek and Majid Afshar
    AMIA Informatics Summit 2021

  • Classifying Long Clinical Documents with Pre-trained Transformers [Paper]
    Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar and Dmitriy Dligach
    arXiv:2105.06752 2021

  • External Validation of an Acute Respiratory Distress Syndrome Prediction Model Using Radiology Reports
    Anoop Mayampurath, Matthew Churpek, Xin Su, Sameep Shah, Elizabeth Munroe, Bhakti Patel, Dmitriy Dligach and Majid Afshar
    Critical Care Medicine 2020

  • Learning Hierarchical Transformer-based Representations of Clinical Notes
    Xin Su, Timothy Miller, Majid Afshar and Dmitriy Dligach
    American Medical Informatics Association Symposium 2020

  • External Validation of an Acute Respiratory Distress Syndrome Prediction Model Using Clinical Text
    Xin Su, Anoop Mayampurath, Matthew Churpek, Sameep Shah, Bhakti Patel, Dmitriy Dligach and Majid Afshar
    American Thoracic Society (ATS) International Conference 2020

  • Using Transformer-based Approaches for Measuring Semantic Similarity
    Xin Su, Timothy Miller, Farig Sadeque, Majid Afshar and Dmitriy Dligach
    National NLP Clinical Challenges (N2C2) Workshop at AMIA Annual Symposium 2019