Towards storytelling automatic textual summerized
|Author:||Bounab, Yazid1; Adeegbe, Joshua Muyiwa1; Oussalah, Mourad1|
1University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202001202591
|Publish Date:|| 2020-01-20
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.
Proceedings of Conference of Open Innovations Association FRUCT
|Pages:||434 - 438|
Proceedings of the FRUCT’25, Helsinki, Finland, 5-8 November 2019
|Host publication editor:||
Conference of Open Innovations Association FRUCT
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
113 Computer and information sciences
The authors very much appreciate the support by our colleges from CMVS Laboratory University of Oulu, for the fruitful discussions. This work is partly supported by CBC Karelia IoT Business Creation (2018-2020) and EU YoungRes (#823701) projects.
© The Authors 2019.