Doc2Vec on the PubMed corpus: study of a new approach to generate
related articles

Doc2Vec on the PubMed corpus: study of a new approach to generate related articles

26 November 2019

Emeric Dynomant

Stéfan J. Darmoni

Émeline Lejeune

Vincent Lequertier

Julien Grosjean

Papers citing "Doc2Vec on the PubMed corpus: study of a new approach to generate related articles"

5 / 5 papers shown

Title
BioSentVec: creating sentence embeddings for biomedical texts Qingyu Chen Yifan Peng Zhiyong Lu 62 214 0 22 Oct 2018
Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features Matteo Pagliardini Prakhar Gupta Martin Jaggi SSL 137 695 0 07 Mar 2017
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation Jey Han Lau Timothy Baldwin 121 652 0 19 Jul 2016
Distributed Representations of Sentences and Documents Quoc V. Le Tomas Mikolov FaML 243 9,235 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 367 33,520 0 16 Oct 2013