2 papers
cs.CL2025
Evaluating Embedding Frameworks for Scientific Domain
Nouman Ahmed, Ronin Wu, Victor Botev
Finding an optimal word representation algorithm is particularly important in terms of domain specific data, as the same word can have different meanings and hence, different repre…
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…