Publikation

Semantic Storytelling: Towards Identifying Storylines in Large Amounts of Text Content

Georg Rehm, Karolina Zaczynska, Julián Moreno Schneider

In: Alípio Jorge , Ricardo Campos , Adam Jatowt , Sumit Bhatia (Hrsg.). Proceedings of Text2Story -- Second Workshop on Narrative Extraction From Texts co-located with 41th European Conference on Information Retrieval (ECIR 2019). European Conference on Information Retrieval (ECIR-2019) Cologne, Germany Seiten 63-70 Proceedings of Text2Story - Second Workshop on Narrative Extraction From Texts co-located with 41th European Conference on Information Retrieval (ECIR 4/2019.

Abstrakt

In this position paper we present an approach and vision we call Seman-tic Storytelling. The idea is to develop a system that, given an incomingdocument collection, is able to (semi-)automatically extract or generate different story paths or plot lines towards the goal of supportingknowledge workers (journalists, authors, scholars, politicians, businessanalysts etc.) in their daily work of processing huge amounts of incom-ing content. We outline the different components needed, which canbe summarised as preprocessing, semantic analysis and content enrichment, as well as generating storylines. Our idea is to take into accountthe specificities of different text genres, which, we believe, will help usto generate better results according to the needs and characteristicsof the respective text genre. We give a brief example where SemanticStorytelling can be applied and try to pinpoint the main conceptual,scientific and technical gaps that still need to be addressed fully torealise our vision of a Semantic Storytelling system.

Projekte

Weitere Links

Georg_Rehm,_Karolina_Zaczynska,_and_Julián_Moreno_Schneider._Semantic_Storytelling-_Towards_Identifying_Storylines_in_Large_Amounts_of_Text_Content..pdf (pdf, 1 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence