Story detection using generalized concepts and relations

A major challenge in automated text analysis is that different words are used for related concepts. Analyzing text at the surface level would treat related concepts (i.e. actors, actions, targets, and victims) as different objects, potentially missing common narrative patterns. Shallow parsers revea...

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Bibliographic Details

Published in:	2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) pp. 942 - 949
Main Authors:	Ceran, Betul, Kedia, Nitesh, Corman, Steven R., Davulcu, Hasan
Format:	Conference Proceeding
Language:	English
Published:	ACM 25.08.2015
Subjects:	Clustering algorithms Context Feature extraction Merging Semantics Social network services Syntactics
Online Access:	Get full text
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