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Distributional semantic modeling: a revised technique to train term/word
  vector space models applying the ontology-related approach

Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach

6 March 2020
O. Palagin
V. Velychko
Kyrylo S. Malakhov
O. Shchurov
ArXivPDFHTML

Papers citing "Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach"

4 / 4 papers shown
Title
FastText.zip: Compressing text classification models
FastText.zip: Compressing text classification models
Armand Joulin
Edouard Grave
Piotr Bojanowski
Matthijs Douze
Hervé Jégou
Tomas Mikolov
MQ
74
1,207
0
12 Dec 2016
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAI
SSL
VLM
207
9,953
0
15 Jul 2016
Bag of Tricks for Efficient Text Classification
Bag of Tricks for Efficient Text Classification
Armand Joulin
Edouard Grave
Piotr Bojanowski
Tomas Mikolov
VLM
135
4,612
0
06 Jul 2016
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
148
2,988
0
04 Mar 2010
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