BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
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Updated
Jan 12, 2022 - Jupyter Notebook
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
ICLR 2018 Quick-Thought vectors
How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.
NLSC Unrestricted Natural Language-based Service Composition Middleware that uses Sentence Embeddings. Named-Entity Recognition and other NLP models.
Spanish Sentence Embeddings computed from large corpora using sent2vec.
Finding look alike sentences by leveraging the concept of semantic similarities pre-learned by transformer models while pre-training task. I've used cosine similarity as an angular distance matrix applied over sent2vec.
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