Entity Linking and Discovery via Arborescence-based Supervised Clustering. (arXiv:2109.01242v2 [cs.CL] UPDATED)

Web: http://arxiv.org/abs/2109.01242

Previous work has shown promising results in performing entity linking by
measuring not only the affinities between mentions and entities but also those
amongst mentions. In this paper, we present novel training and inference
procedures that fully utilize mention-to-mention affinities by building minimum
arborescences (i.e., directed spanning trees) over mentions and entities across
documents in order to make linking decisions. We also show that this method
gracefully extends to entity discovery, enabling the clustering of mentions
that do not have …

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