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@inproceedings{tra:xavier_wermter:2014,
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@ARTICLE{tra:xavier_hri,  
AUTHOR={Hinaut, Xavier and Petit, Maxime and Pointeau, Gregoire and Dominey, Peter Ford},   	 
TITLE={Exploring the acquisition and production of grammatical constructions through human-robot interaction with echo state networks},      
JOURNAL={Frontiers in Neurorobotics},      	
VOLUME={8},      
PAGES={16},     	
YEAR={2014},    	  
URL={http://journal.frontiersin.org/article/10.3389/fnbot.2014.00016},       	
DOI={10.3389/fnbot.2014.00016},      	
ISSN={1662-5218},      
}

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  year={2013}
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@inproceedings{srl:collobert:2008,
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@article{srl:collobert:2011,
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@inproceedings{srl:pradhan:2004,
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@inproceedings{Pradhan:2005,
 author = {Pradhan, Sameer and Hacioglu, Kadri and Ward, Wayne and Martin, James H. and Jurafsky, Daniel},
 title = {Semantic Role Chunking Combining Complementary Syntactic Views},
 booktitle = {Proceedings of the Ninth Conference on Computational Natural Language Learning},
 series = {CONLL '05},
 year = {2005},
 location = {Ann Arbor, Michigan},
 pages = {217--220},
 numpages = {4},
 url = {http://dl.acm.org/citation.cfm?id=1706543.1706585},
 acmid = {1706585},
 publisher = {Association for Computational Linguistics},
 address = {Stroudsburg, PA, USA},
} 

@inproceedings{Koomen:2005,
 author = {Koomen, Peter and Punyakanok, Vasin and Roth, Dan and Yih, Wen-tau},
 title = {Generalized Inference with Multiple Semantic Role Labeling Systems},
 booktitle = {Proceedings of the Ninth Conference on Computational Natural Language Learning},
 series = {CONLL '05},
 year = {2005},
 location = {Ann Arbor, Michigan},
 pages = {181--184},
 numpages = {4},
 url = {http://dl.acm.org/citation.cfm?id=1706543.1706576},
 acmid = {1706576},
 publisher = {Association for Computational Linguistics},
 address = {Stroudsburg, PA, USA},
} 

@inproceedings{end-to-end,
  title={End-to-end learning of semantic role labeling using recurrent neural networks},
  author={Zhou, Jie and Xu, Wei},
  booktitle={Proceedings of the Annual Meeting of the Association for Computational Linguistics},
  year={2015}
}

@article{xavier:2013:RT,
    author = {Hinaut, Xavier AND Dominey, Peter Ford},
    journal = {PLoS ONE},
    publisher = {Public Library of Science},
    title = {Real-Time Parallel Processing of Grammatical Structure in the Fronto-Striatal System: A Recurrent Network Simulation Study Using Reservoir Computing},
    year = {2013},
    month = {02},
    volume = {8},
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    number = {2},
    doi = {10.1371/journal.pone.0052946}
}

@article{confusion_martrix:1998,
 title = {Glossary of Terms},
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 number = {2-3},
 month = feb,
 year = {1998},
 issn = {0885-6125},
 pages = {271--274},
 numpages = {4},
 url = {http://dl.acm.org/citation.cfm?id=288808.288815},
 acmid = {288815},
 publisher = {Kluwer Academic Publishers},
 address = {Hingham, MA, USA},
key = {{$\!\!$}} ,
}

@Inbook{macro_average:2005,
author="{\"O}zg{\"u}r, Arzucan
and {\"O}zg{\"u}r, Levent
and G{\"u}ng{\"o}r, Tunga",
editor="Yolum, pInar
and G{\"u}ng{\"o}r, Tunga
and G{\"u}rgen, Fikret
and {\"O}zturan, Can",
title="Text Categorization with Class-Based and Corpus-Based Keyword Selection",
bookTitle="Computer and Information Sciences - ISCIS 2005: 20th International Symposium, Istanbul, Turkey, October 26-28, 2005. Proceedings",
year="2005",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="606--615",
isbn="978-3-540-32085-2",
doi="10.1007/11569596_63",
url="http://dx.doi.org/10.1007/11569596_63"
}

@inproceedings{conll:2005,
 author = {Carreras, Xavier and M\`{a}rquez, Llu\'{\i}s},
 title = {Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling},
 booktitle = {Proceedings of the Ninth Conference on Computational Natural Language Learning},
 series = {CONLL '05},
 year = {2005},
 location = {Ann Arbor, Michigan},
 pages = {152--164},
 numpages = {13},
 url = {http://dl.acm.org/citation.cfm?id=1706543.1706571},
 acmid = {1706571},
 publisher = {Association for Computational Linguistics},
 address = {Stroudsburg, PA, USA},
} 

@MISC{conll:2004,
    author = {Xavier Carreras and Lluís Màrquez},
    title = {Introduction to the CoNLL-2004 Shared Task: Semantic Role Labeling},
    year = {2004}
}

@article{classification_scores:2009,
 author = {Sokolova, Marina and Lapalme, Guy},
 title = {A Systematic Analysis of Performance Measures for Classification Tasks},
 journal = {Inf. Process. Manage.},
 issue_date = {July, 2009},
 volume = {45},
 number = {4},
 month = jul,
 year = {2009},
 issn = {0306-4573},
 pages = {427--437},
 numpages = {11},
 url = {http://dx.doi.org/10.1016/j.ipm.2009.03.002},
 doi = {10.1016/j.ipm.2009.03.002},
 acmid = {1542682},
 publisher = {Pergamon Press, Inc.},
 address = {Tarrytown, NY, USA},
 keywords = {Machine Learning, Performance evaluation, Text classification},
} 

@proceeding{accuracy_paradox_1:2008,
author = {Thomas, Ciza and Balakrishnan, N.},
title = {Improvement in minority attack detection with skewness in network traffic},
journal = {Proc. SPIE},
volume = {6973},
number = {},
pages = {69730N-69730N-12},
abstract = {The acceptability and usability of Intrusion Detection Systems get seriously affected with the data skewness in network traffic. A large number of false alarms mean a lot in terms of the acceptability of Intrusion Detection Systems. The reason for the increase in false alerts is that the normal traffic abound. Even with highly accurate Intrusion Detection Systems, the effective detection rate of the minority attack types will be unacceptably low and those attack types are often the most serious ones. Thus high accuracy is not necessarily an indicator of high model quality, and therein lies the accuracy paradox of predictive analytics. The cost of missing an attack is higher than the cost of false alarms. The data-dependent sensor fusion architecture presented in this paper learns from the data and then appropriately gives weighting to the decisions of various Intrusion Detection Systems. The fusion enriches these weighted decisions to provide a single decision, which is better than those of the existing Intrusion Detection Systems. This method reduces the false positive rate and improves the overall detection rate and also the detection rate of minority class types in particular.},
year = {2008},
doi = {10.1117/12.785623},
URL = { http://dx.doi.org/10.1117/12.785623},
eprint = {}
}

@article{accuracy_paradox_2:2014,
  title={100\% classification accuracy considered harmful: The normalized information transfer factor explains the accuracy paradox},
  author={Valverde-Albacete, Francisco J and Pel{\'a}ez-Moreno, Carmen},
  journal={PloS one},
  volume={9},
  number={1},
  pages={e84217},
  year={2014},
  publisher={Public Library of Science}
}