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Relation Clustering in Narrative Knowledge Graphs
When coping with literary texts such as novels or short stories, the extraction of structured information in the form of a knowledge graph might be hindered by the huge number of possible relations between the entities corresponding to the characters in the novel and the consequent hurdles in gathering supervised information about them.
Temporal Embeddings and Transformer Models for Narrative Text Understanding
We present two deep learning approaches to narrative text understanding for character relationship modelling.
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