Using Domain Knowledge for Text Summarization in Medical Domain

Medical Literatures on the web are the important sources to help clinicians in patient-care. Initially, the clinicians go through the author-written abstracts or summaries available with the medical articles to decide whether articles are suitable for in-depth study. Since all medical articles do not come with author written abstracts or summaries, automatic summarization of medical articles will help clinicians or medical students to find the relevant information on the web rapidly. In this paper we discuss a summarization method, which combines several domain specific features with some other known features such as term frequency, title and position to improve the summarization performance in the medical domain. Our experiments show that the incorporation of domain specific features improves the summarization performance.