Context encoders as a simple but powerful extension of word2vec

8 June 2017

Papers citing "Context encoders as a simple but powerful extension of word2vec"

8 / 8 papers shown

Title
Predicting Pairwise Relations with Neural Similarity Encoders F. Horn K. Müller 29 4 0 06 Feb 2017
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 229 9,966 0 15 Jul 2016
sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings Andrew Trask Phillip Michalak John Chih Liu 50 173 0 19 Nov 2015
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes S. Rothe Hinrich Schütze 57 285 0 04 Jul 2015
word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method Yoav Goldberg Omer Levy SSL 79 1,611 0 15 Feb 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 394 33,529 0 16 Oct 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 677 31,512 0 16 Jan 2013
Natural Language Processing (almost) from Scratch R. Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa 188 7,726 0 02 Mar 2011