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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Bibliographische Detailangaben

Veröffentlicht in:	2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) S. 942 - 949
Hauptverfasser:	Ceran, Betul, Kedia, Nitesh, Corman, Steven R., Davulcu, Hasan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 25.08.2015
Schlagworte:	Clustering algorithms Context Feature extraction Merging Semantics Social network services Syntactics
Online-Zugang:	Volltext
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