Eigenthemes performs unsupervised entity linking by exploiting the observation that entities mentioned in the same document tend to cluster in a low-dimensional subspace of a pretrained entity embedding space. It extracts this subspace via SVD and ranks entity candidates by their projection onto the dominant singular vectors, without requiring any labeled training data.
This page was last edited on 2024-04-16.
This page was last edited on 2024-04-16.