First International Workshop on Narrative Extraction from Texts: Text2Story 2018 Alípio Mário Jorge1,2(B) , Ricardo Campos1,3 , Adam Jatowt4 , and Sérgio Nunes1,2 1
3
INESC TEC, Porto, Portugal
[email protected] 2 University of Porto, Porto, Portugal Polytechnic Institute of Tomar, Tomar, Portugal 4 Kyoto University, Kyoto, Japan
Keywords: Information extraction
1
· Narrative extraction
Synopsis
The increasing availability of text information in the form of news articles, comments or posts poses new challenges for those who aim to understand the storyline of an event. Although understanding natural language text has improved over the last couple of years with several research works emerging on the grounds of information extraction and text mining, the problem of constructing consistent narrative structures is yet to be solved. We have a challenging path ahead of us for the development and improvement of algorithms that automatically identify, interpret and relate the different elements of a narrative which will be likely spread among different sources. In this first workshop on this topic, held at the 40th European Conference on Information Retrieval (ECIR 2018), we aim to foster the discussion of recent advances in the link between Information Retrieval (IR) and formal narrative representations from texts. More specifically, we aim to capture a wide range of multidisciplinary issues related to the text-to-narrative-structure and to its various related tasks. These include event identification; narrative representation language; sentiment and opinion detection; argumentation mining; narrative summarization; storyline visualization; temporal aspects of storylines; story evolution and shift detection; causal relation extraction and arrangement; evaluation methodologies for narrative extraction; big data applied to narrative extraction; resources and dataset showcase; personalization and recommendation; user profiling and user behavior modeling; credibility; fact checking and bots influence. This workshop features a diversity of tasks and techniques with promising results for an exciting event.
c Springer International Publishing AG, part of Springer Nature 2018 G. Pasi et al. (Eds.): ECIR 2018, LNCS 10772, pp. 833–834, 2018. https://doi.org/10.1007/978-3-319-76941-7
834
A. M. Jorge et al.
Acknowledgments. This work is financed by the ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme within project «POCI-01-0145-FEDER006961», and by National Funds through the FCT – Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) as part of project UID/EEA/50014/2013.