Latent Ontological Feature Discovery for Text Clustering

The content of a text is mainly defined by keywords and named entities occurring in it. In particular for news articles, named entities are usually important to define their semantics. However, named entities have ontological features, namely, their aliases, types, and identifiers, which are hidden...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Duong, V.T.T., Cao, T.H., Chau, C.K., Quan, T.T.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cities and towns Clustering algorithms Computer science Entropy Information retrieval Information technology Labeling Mathematics Ontologies Vectors
Online-Zugang:	Volltext bestellen
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