Sequential Path Signature Networks for Personalised Longitudinal Language Modeling
Talia Tseriotou,
Adam Tsakalidis,
Peter Foster
et al.
Abstract:Longitudinal user modeling can provide a strong signal for various downstream tasks. Despite the rapid progress in representation learning, dynamic aspects of modelling individuals' language have only been sparsely addressed. We present a novel extension of neural sequential models using the notion of path signatures from rough path theory, which constitute graduated summaries of continuous paths and have the ability to capture non-linearities in trajectories. By combining path signatures of users' history wit… Show more
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