A Practice of Human-Machine Collaboration for Persian Text Summarization

Nowadays, a large volume of daily produced texts is accessible to users. The amount of time spent in reading has a huge impact on the cultural developments of each society, and one of the most vital problems that countries, like Iran, encountered with is a significant drop in reading, specifically in young and future maker generation. Therefore, this study aims to facilitate reading for those people who spend little time on reading, for any reason. In this regard, human intelligence is used along with linguistic techniques and learning algorithms. Thus, people who are interested in reading books can help the proposed summarization system in producing an efficient summary for each book In this paper, a Persian extractive summarization system is proposed using an interactive approach, and its results are evaluated and compared with similar systems. It revealed that human interference in the summarization process can enhance the F-measure of the system in comparison with related research, while it is more simple and not requiring any complex processing methods used in the similar previous research.