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projects:fofe:start [2015/05/11 19:19] hjprojects:fofe:start [2015/08/05 06:02] (current) hj
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 ====== FOFE ====== ====== FOFE ======
  
-===== fixed-size ordinally-forgetting encoding (FOFE) =====+===== Fixed-size Ordinally-Forgetting Encoding (FOFE) ===== 
 + 
 +{{:projects:fofe:fofe_bigram2.png?0x330 |NN hidden layer}}{{ :projects:fofe:fofe_trigram.png?0x330| HOPE}} \\
  
-{{:projects:fofe:fofe_bigram2.png?0x300 |NN hidden layer}}{{ :projects:fofe:fofe_trigram.png?0x300| HOPE}} 
 \\ \\
-\\ 
-FOFE is a simple technique to (almost) uniquely map any variable-length sequence into a fixed-size representation, which is particularly suitable for neural networks. It also has an appealing property that the far-away context will be gradually forgotten in the representation, which is good to model natural languages 
    
 +** FOFE **
 +is a simple technique to (almost) uniquely map any variable-length sequence into a fixed-size representation, which is particularly suitable for neural networks. It also has an appealing property that the far-away context will be gradually forgotten in the representation, which is good to model natural languages.
 +\\
  
 +We have applied FOFE to feedforward neural network language models (FNN-LMs). Experimental results have shown that without using any recurrent feedbacks, FOFE based FNNLMs can significantly outperform not only the standard fixed-input FNN-LMs but
 +also the popular RNN-LMs.
 +
 +**Reference:** 
 +\\
 +[1] //S. Zhang, H. Jiang, M. Xu, J. Hou, L. Dai//, "A Fixed-Size Encoding Method  for Variable-Length Sequences with its Application to Neural Network Language Models," [[http://arxiv.org/abs/1505.01504|arXiv:1505.01504]].
 +
 +[2] //S. Zhang, H. Jiang, M. Xu, J. Hou, L. Dai//, "[[http://anthology.aclweb.org/P/P15/P15-2081.pdf|The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models]]," //Proc. of The 53th Annual Meeting of the Association for Computational Linguistics (ACL 2015)//, July 2015.
 +
 +**Software:**
 +\\
 +The matlab codes to reproduce the results in [1,2] can be downloaded {{:projects:fofe:fofe-code.zip|here}}.
 + 
projects/fofe/start.1431371975.txt.gz · Last modified: 2015/05/11 19:19 by hj

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