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A Proposed Textual Graph Based Model for Arabic Multi-document Summarization
2016
International Journal of Advanced Computer Science and Applications
Text summarization task is still an active area of research in natural language preprocessing. Several methods that have been proposed in the literature to solve this task have presented mixed success. However, such methods developed in a multi-document Arabic text summarization are based on extractive summary and none of them is oriented to abstractive summary. This is due to the challenges of Arabic language and lack of resources. In this paper, we present a minimal languagedependent
doi:10.14569/ijacsa.2016.070656
fatcat:6mqswodgmncgngzst2p4hnul3u