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

1 October 2021

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

7 / 7 papers shown

Title
Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features Matteo Pagliardini Prakhar Gupta Martin Jaggi SSL 92 692 0 07 Mar 2017
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 192 9,924 0 15 Jul 2016
Skip-Thought Vectors Ryan Kiros Yukun Zhu Ruslan Salakhutdinov R. Zemel Antonio Torralba R. Urtasun Sanja Fidler SSL 142 2,405 0 22 Jun 2015
Applying deep learning techniques on medical corpora from the World Wide Web: a prototypical system and evaluation José Antonio Miñarro-Giménez Oscar Marín-Alonso Matthias Samwald 39 29 0 12 Feb 2015
Distributed Representations of Sentences and Documents Quoc V. Le Tomas Mikolov FaML 175 9,231 0 16 May 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 289 33,445 0 16 Oct 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 538 31,406 0 16 Jan 2013