Towards narrative ideation via cross-context link discovery using banded matrices

Matic Perovšek, Bojan Cestnik, Tanja Urbančič, Simon Colton, Nada Lavrač

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)


Knowledge discovery and computational creativity have until lately been investigated by two separate research communities. However, research in bisociative, cross-context knowledge discovery has recently started addressing creative tasks, including creative literature mining. This paper contributes to this effort by investigating an approach to cross-context link discovery based on banded matrices, aimed at identifying meaningful bridging terms (b-terms) at the intersection of two different domains. The proposed approach was applied to a simplified computational creativity task of narrative ideation from pairs of short sentences. As input, we took sentences from two different contexts: what-if sentences retrieved from Twitter, and morals from Aesop's fables, respectively. The approach resulted in a list of linked pairs of sentences from these two domains, illustrating the potential of the proposed approach to cross-context narrative ideation.

Original languageEnglish
Title of host publicationAdvances in Intelligent Data Analysis XII - 12th International Symposium, IDA 2013, Proceedings
Number of pages12
Publication statusPublished - 11 Nov 2013
Externally publishedYes
Event12th International Symposium on Intelligent Data Analysis, IDA 2013 - London, United Kingdom
Duration: 17 Oct 201319 Oct 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8207 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th International Symposium on Intelligent Data Analysis, IDA 2013
Country/TerritoryUnited Kingdom

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