Book, Chapter in Scholarly Book-New
Reeve, L., Han, H., & Chen, C. Information visualization and the semantic web. Visualizing the Semantic Web. Springer London (2006): 19–44.
Book, Scholarly-New
Han, H., & others. Conceptual modeling and ontology extraction for web information. The University of Texas at Arlington (2002)
Conference Proceeding
Israel, Q., Han, H., & Song, I. Semantic analysis for focused multi-document summarization (fMDS) of text. Proceedings of the 30th Annual ACM Symposium on Applied Computing (2015): 339–344.
Sovine, S., & Han, H. A Computationally Efficient System for High-Performance Multi-Document Summarization.. FLAIRS Conference. AAAI (2013)
Athenikos, S., Han, H., & Brooks, A. A framework of a logic-based question-answering system for the medical domain (LOQAS-Med). Proceedings of the 2009 ACM symposium on Applied Computing (2009): 847–851.
Banerjee, P., & Han, H. Answer credibility: a language modeling approach to answer validation. Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers (2009): 157–160.
Banerjee, P., & Han, H. Modeling Semantic Question Context for Question Answering.. FLAIRS Conference (2009)
Journal Article, Academic Journal
Fährmann, E., Adkins, L., Loader, C., Han, H., Rice, K., Denvir, J., & Driscoll, H. Severe hypoglycemia and coronary artery calcification during the diabetes control and complications trial/epidemiology of diabetes interventions and complications (DCCT/EDIC) study. Diabetes research and clinical practice 107.2 (2015): 280–289.
Sovine, S., & Han, H. Classification of Sentence Ranking Methods for Multi-Document Summarization. Innovative Document Summarization Techniques: Revolutionizing Knowledge Understanding: Revolutionizing Knowledge Understanding (2014): 1.
Athenikos, S., & Han, H. Biomedical question answering: A survey. Computer methods and programs in biomedicine. Computer methods and programs in biomedicine 99.1 (2010): 1–24.
Israel, Q., Han, H., & Song, I. Focused multi-document summarization: human summarization activity vs. automated systems techniques. Journal of Computing Sciences in Colleges 25.5 (2010): 10–20.
Banerjee, P., & Han, H. From Question Context to Answer Credibility: Modeling Semantic Structures for Question Answering Using Statistical Methods (2009)
