Medical Semantic Similarity with a Neural Language Model
Lance De Vine, Guido Zuccon, Bevan Koopman, Laurianne Sitbon, Peter Bruza · 2014
Advances in neural network language models have demonstrated that these models can effectively learn representations of words meaning. In this paper, we explore a variation of neural language models that can learn on concepts taken from structured ontologies and extracted from free-text, rather than directly from terms in free-text.