Persian Document Summarization by Parsumist

The rapid growth of online information services has created the problem of information explosion. Automatic text summarization techniques are essential for dealing with this problem. The process of compacting a source document to reduce its complexity and length while retaining its most important contents is called text summarization. This paper introduces Parsumist-a text summarization system for Persian documents. It exploits a combination of statistical, semantic and heuristic-improved methods. It can generate generic or topic/query-driven extracts summaries for single-or multiple Persian documents. In this paper, we first review the related work in this field, especially for Persian text summarization. We then present the architecture of Parsumist, its components and features. The last section evaluates the system and compares it to other systems that exist.