10.1186/s12859-019-2789-2 | Papers

Papers: 10.1186/s12859-019-2789-2

Neural sentence embedding models for semantic similarity estimation in the biomedical domain

Cited by: 18
Author(s): Kathrin Blagec, Hong Xu, Asan Agibetov, Matthias Samwald
Published: over 6 years ago

Efficient Learning of Word Representations and Sentence Classification
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Google News search for Python
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How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.
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A pip installable version of skip_thoughts branched from tensorflow/research
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