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Russian Language Datasets in the Digitial Humanities Domain and Their
  Evaluation with Word Embeddings

Russian Language Datasets in the Digitial Humanities Domain and Their Evaluation with Word Embeddings

4 March 2019
G. Wohlgenannt
A. Babushkin
D. Romashov
I. Ukrainets
Anton Maskaykin
I. Shutov
ArXivPDFHTML

Papers citing "Russian Language Datasets in the Digitial Humanities Domain and Their Evaluation with Word Embeddings"

5 / 5 papers shown
Title
Relation Extraction Datasets in the Digital Humanities Domain and their
  Evaluation with Word Embeddings
Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings
G. Wohlgenannt
Ekaterina Chernyak
Dmitry Ilvovsky
A. Barinova
D. Mouromtsev
34
4
0
04 Mar 2019
RUSSE: The First Workshop on Russian Semantic Similarity
RUSSE: The First Workshop on Russian Semantic Similarity
Alexander Panchenko
Natalia Loukachevitch
Dmitry Ustalov
Denis Paperno
Christian M. Meyer
N. Konstantinova
32
43
0
15 Mar 2018
The Effects of Data Size and Frequency Range on Distributional Semantic
  Models
The Effects of Data Size and Frequency Range on Distributional Semantic Models
Magnus Sahlgren
Alessandro Lenci
39
60
0
27 Sep 2016
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAI
SSL
VLM
220
9,957
0
15 Jul 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
637
31,469
0
16 Jan 2013
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