Sentence Embeddings For Biomedical Texts
2 papers with code • 2 benchmarks • 1 datasets
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Latest papers
Neural sentence embedding models for semantic similarity estimation in the biomedical domain
kathrinblagec/neural-sentence-embedding-models-for-biomedical-applications
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BACKGROUND: In this study, we investigated the efficacy of current state-of-the-art neural sentence embedding models for semantic similarity estimation of sentences from biomedical literature.
BioSentVec: creating sentence embeddings for biomedical texts
Sentence embeddings have become an essential part of today's natural language processing (NLP) systems, especially together advanced deep learning methods.
