Sequential path signature networks for personalised longitudinal language modeling
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...
| Hlavní autoři: | , , , , |
|---|---|
| Médium: | Conference item |
| Jazyk: | English |
| Vydáno: |
Association for Computational Linguistics
2023
|