Temporal Embeddings and Transformer Models for Narrative Text Understanding

19 Mar 2020 Vani K Simone Mellace Alessandro Antonucci

We present two deep learning approaches to narrative text understanding for character relationship modelling. The temporal evolution of these relations is described by dynamic word embeddings, that are designed to learn semantic changes over time... (read more)

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