Does Syntax Matter? A Graph-Augmented Variational Topic Model for Computational Social Sciences
This paper introduces the Structural Contextual Probabilistic Topic Model (SCPTM), an architecture that incorporates syntactic dependency relations into topic inference and concludes that syntactic encoding matters conditionally: it benefits action-oriented, argumentative texts, but introduces noise in informational or...
Alessandro Meneghini
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