Towards Storytelling Automatic Textual Summerized

This paper examines the development of an automatic summarizer for storytelling. The approach makes use of semantic role labelling and co-referencing in natural language processing. The developed approach has been tested and evaluated using BBC news summary dataset and Grimm Hansel & Gretel novel dataset where a comparison with a state of art TextRank summarizer has been carried out. The results demonstrate the feasibility of the proposal and pave the way for new enhancement of the model to take into account additional constraints that can be imposed on the summarizer.