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How to evaluate word embeddings? On importance of data efficiency and
  simple supervised tasks

How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks

7 February 2017
Stanislaw Jastrzebski
Damian Lesniak
Wojciech M. Czarnecki
ArXivPDFHTML

Papers citing "How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks"

3 / 3 papers shown
Title
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional
  Neural Networks for Sentence Classification
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification
Ye Zhang
Byron C. Wallace
AAML
75
1,192
0
13 Oct 2015
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word:
  The Impact of Word Representation on Sequence Labelling Tasks
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks
Zhuang Li
Gabriela Ferraro
Liyuan Zhou
Weiwei Hou
Nathan Schneider
Timothy Baldwin
32
39
0
21 Apr 2015
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
114
12,384
0
24 Jun 2012
1