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A Fixed-Size Encoding Method for Variable-Length Sequences with its
  Application to Neural Network Language Models

A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models

6 May 2015
Shiliang Zhang
Hui Jiang
Mingbin Xu
Junfeng Hou
Lirong Dai
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Papers citing "A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models"

3 / 3 papers shown
Title
Effective Context and Fragment Feature Usage for Named Entity
  Recognition
Effective Context and Fragment Feature Usage for Named Entity Recognition
Nargiza Nosirova
Mingbin Xu
Hui Jiang
19
0
0
05 Apr 2019
A Survey on Deep Learning for Named Entity Recognition
A Survey on Deep Learning for Named Entity Recognition
J. Li
Aixin Sun
Jianglei Han
Chenliang Li
3DV
22
1,139
0
22 Dec 2018
Using the Output Embedding to Improve Language Models
Using the Output Embedding to Improve Language Models
Ofir Press
Lior Wolf
27
728
0
20 Aug 2016
1