Information professionals face the challenge of making sense of an ever increasing amount of information. Storylines can provide a useful way to present relevant information because they reveal explanatory relations between events. In this position paper, we present and discuss the four main challenges that make it difficult to get to these stories and our first ideas on how to start resolving them.
@InProceedings{vanerp_et_al:OASIcs.CMN.2014.241, author = {van Erp, Marieke and Fokkens, Antske and Vossen, Piek}, title = {{Finding Stories in 1,784,532 Events: Scaling Up Computational Models of Narrative}}, booktitle = {2014 Workshop on Computational Models of Narrative}, pages = {241--245}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-939897-71-2}, ISSN = {2190-6807}, year = {2014}, volume = {41}, editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.241}, URN = {urn:nbn:de:0030-drops-46601}, doi = {10.4230/OASIcs.CMN.2014.241}, annote = {Keywords: big data, news, aggregation, story detection} }
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