Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries 2018
DOI: 10.1145/3197026.3197034
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Cited by 5 publications
(1 citation statement)
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“…Automatic narrative extraction from texts offers a compelling approach to this problem by automatically identifying the sub-set of interconnected raw documents, extracting the critical narrative/story elements, and representing them in a more adequate manner that conveys the key points of the story in an easy to understand format to the readers. This could be done through text summarization [13], timelines [15,19], word clouds [3,20], visual textual analytics [7,18] or in an intermediate structured formalism (e.g., wikilike page structures [1]) that can feed further steps (e.g., gamification [6,16] or story generation [12] (such as automatically generating finance [5,11] and sport reports [22])).…”
Section: Background and Motivation To Ecirmentioning
confidence: 99%
“…Automatic narrative extraction from texts offers a compelling approach to this problem by automatically identifying the sub-set of interconnected raw documents, extracting the critical narrative/story elements, and representing them in a more adequate manner that conveys the key points of the story in an easy to understand format to the readers. This could be done through text summarization [13], timelines [15,19], word clouds [3,20], visual textual analytics [7,18] or in an intermediate structured formalism (e.g., wikilike page structures [1]) that can feed further steps (e.g., gamification [6,16] or story generation [12] (such as automatically generating finance [5,11] and sport reports [22])).…”
Section: Background and Motivation To Ecirmentioning
confidence: 99%