Customization in a unified framework for summarizing medical literature

Objectives: We present the summarization system in the PERSIVAL medical digital library. Although we discuss the context of our summarization research within the PERSIVAL platform, the primary focus of this article is on strategies to define and generate customized summaries. Methods and Material: Our summarizer employs a unified user model to create a tailored summary of relevant documents for either a physician or lay person. The approach takes advantage of regularities in medical literature text structure and content to fulfill identified user needs. Results: The resulting summaries combine both machine-generated text and extracted text that comes from multiple input documents. Customization includes both group-based modeling for two classes of users, physician and lay person, and individually driven models based on a patient record. Conclusions: Our research shows that customization is feasible in a medical digital library. Key words: medical digital library, user modeling, multi-...

• Type: Journal
• Year: 2005
• Where: ARTMED
• Authors: Noemie Elhadad, Min-Yen Kan, Judith L. Klavans, Kathleen McKeown
• Keywords: ARTMED 2005, Medical Digital Library, Medical Literature Text, Unified User Model