2 papers
cs.CL2022
Leveraging knowledge graphs to update scientific word embeddings using latent semantic imputation
Jason Hoelscher-Obermaier, Edward Stevinson, Valentin Stauber +4
The most interesting words in scientific texts will often be novel or rare. This presents a challenge for scientific word embedding models to determine quality embedding vectors fo…
cs.CL2021
Domain-adaptation of spherical embeddings
Mihalis Gongolidis, Jeremy Minton, Ronin Wu +3
Domain adaptation of embedding models, updating a generic embedding to the language of a specific domain, is a proven technique for domains that have insufficient data to train an…