An Analysis of Lemmatization on Topic Models of Morphologically Rich Language

Topic models are typically represented by top-$m$ word lists for human interpretation. The corpus is often pre-processed with lemmatization (or stemming) so that those representations are not undermined by a proliferation of words with similar meanings, but there is little public work on the effects...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	May, Chandler, Cotterell, Ryan, Van Durme, Benjamin
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!