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%%% ====================================================================
%%% BibTeX-file{
%%% author = "David Rhead",
%%% version = "1.00",
%%% date = "17 Feb 1990",
%%% time = "17:00 GMT",
%%% filename = "test.bib",
%%% address = "Cripps Computing Centre,
%%% University of Nottingham,
%%% University Park,
%%% Nottingham,
%%% NG7 2RD,
%%% United Kingdom",
%%% telephone = "+44 602 484848 Ext 2670",
%%% FAX = "+44 602 588138",
%%% checksum = "05151 839 2908 25082",
%%% email = "David_Rhead at uk.ac.nott.vme (JANET)",
%%% codetable = "ISO/ASCII",
%%% keywords = "bibliography, citation, references",
%%% supported = "no",
%%% docstring = "This BibTeX database file contains entries
%%% designed for testing whether a BibTeX style
%%% file lays references out as recommended by
%%% certain authorities. (Note, however, that
%%% the BS 1629 examples are from the 1976
%%% edition. The file needs updating to use
%%% examples from the 1989 edition instead.)
%%%
%%% The checksum field above contains a CRC-16
%%% checksum as the first value, followed by the
%%% equivalent of the standard UNIX wc (word
%%% count) utility output of lines, words, and
%%% characters. This is produced by Robert
%%% Solovay's checksum utility.",
%%% }
%%% ====================================================================
%% @COMMENT{Some other standard works describing conventions for citations
%% and bibliographies}
@Inproceedings{Martin-90,
author = "Jannik Strötgen and Michael Gertz",
title = "Temporal Tagging on Different Domains: Challenges, Strategies, and Gold Standards",
booktitle = "Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)",
year = "2012",
month = "may",
date = "23-25",
pages = "3746--3753",
address = "Istanbul, Turkey",
editor = "Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet U\v{g}ur Do\v{g}an and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis",
publisher = "European Language Resource Association (ELRA)",
isbn = "978-2-9517408-7-7",
}
@ARTICLE{RubensteinGoodenough65,
address = {New York, NY, USA},
author = {H. Rubenstein and J. B. Goodenough},
issn = {0001-0782},
journal = {Communications of the ACM},
month = oct,
number = {10},
pages = {627--633},
priority = {2},
publisher = {ACM},
title = {{Contextual correlates of synonymy}},
volume = {8},
year = {1965}
}
@ARTICLE{Charles2000,
author = {W. G. Charles},
title = {Contextual correlates of meaning},
journal = {Applied Psycholinguistics},
volume = {21},
number = {04},
pages = {505-524},
year = {2000},
}
@article{mikolov2013efficient,
title={Efficient Estimation of Word Representations in Vector Space},
author={Mikolov, Tomas and Chen, Kai and Corrado, Greg and Dean, Jeffrey},
year={2013}
}
@inproceedings{pennington2014glove,
title={Glove: Global vectors for word representation},
author={Pennington, Jeffrey and Socher, Richard and Manning, Christopher D},
booktitle={Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
pages={1532--1543},
year={2014}
}
@incollection{bengio2006neural,
title={Neural probabilistic language models},
author={Bengio, Yoshua and Schwenk, Holger and Sen{\'e}cal, Jean-S{\'e}bastien and Morin, Fr{\'e}deric and Gauvain, Jean-Luc},
booktitle={Innovations in Machine Learning},
pages={137--186},
year={2006},
publisher={Springer}
}
@article{ws353,
author = {Finkelstein, Lev and Gabrilovich, Evgeniy and Matias, Yossi and Rivlin, Ehud and Solan, Zach and Wolfman, Gadi and Ruppin, Eytan},
citeulike-article-id = {9966884},
journal = {{ACM} Transactions on Information Systems},
keywords = {cds},
number = {1},
pages = {116--131},
posted-at = {2011-10-30 16:52:45},
priority = {0},
title = {{Placing search in context: The concept revisited}},
volume = {20},
year = {2002}
}
@article{DBLPSvobodaB16,
author = {Luk{\'{a}}s Svoboda and
Tom{\'{a}}s Brychc{\'{\i}}n},
title = {New word analogy corpus for exploring embeddings of Czech words},
journal = {CoRR},
volume = {abs/1608.00789},
year = {2016},
url = {http://arxiv.org/abs/1608.00789},
timestamp = {Wed, 07 Jun 2017 14:41:50 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/SvobodaB16},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
@article{DBLPChelbaMSGBK13,
author = {Ciprian Chelba and
Tomas Mikolov and
Mike Schuster and
Qi Ge and
Thorsten Brants and
Phillipp Koehn},
title = {One Billion Word Benchmark for Measuring Progress in Statistical Language
Modeling},
journal = {CoRR},
volume = {abs/1312.3005},
year = {2013},
url = {http://arxiv.org/abs/1312.3005},
timestamp = {Wed, 07 Jun 2017 14:40:11 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/ChelbaMSGBK13},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
@article{bojanowski2016enriching,
author = {Bojanowski, Piotr and Grave, Edouard and Joulin, Armand and Mikolov, Tomas },
title = {Enriching Word Vectors with Subword Information},
journal = {Transactions of the Association for Computational Linguistics},
volume = {5},
year = {2017},
keywords = {},
abstract = {Continuous word representations, trained on large unlabeled corpora are useful for many natural language processing tasks. Popular models to learn such representations ignore the morphology of words, by assigning a distinct vector to each word. This is a limitation, especially for languages with large vocabularies and many rare words. In this paper, we propose a new approach based on the skipgram model, where each word is represented as a bag of character n-grams. A vector representation is associated to each character n-gram, words being represented as the sum of these representations. Our method is fast, allowing to train models on large corpora quickly and allows to compute word representations for words that did not appear in the training data. We evaluate our word representations on nine different languages, both on word similarity and analogy tasks. By comparing to recently proposed morphological word representations, we show that our vectors achieve state-of-the-art performance on these tasks.},
issn = {2307-387X},
url = {https://transacl.org/ojs/index.php/tacl/article/view/999},
pages = {135--146}
}
@article{Harris:1954,
author = {Harris, Zellig},
journal = {Word},
number = 23,
pages = {146--162},
title = {Distributional structure},
volume = 10,
year = 1954
}
@inproceedings{mikolov2013distributed,
title={Distributed representations of words and phrases and their compositionality},
author={Mikolov, Tomas and Sutskever, Ilya and Chen, Kai and Corrado, Greg S and Dean, Jeff},
booktitle={Advances in Neural Information Processing Systems},
pages={3111--3119},
year={2013}
}
@article{DBLP:journals/corr/abs-1103-0398,
author = {Ronan Collobert and
Jason Weston and
L{\'{e}}on Bottou and
Michael Karlen and
Koray Kavukcuoglu and
Pavel P. Kuksa},
title = {Natural Language Processing (almost) from Scratch},
journal = {CoRR},
volume = {abs/1103.0398},
year = {2011},
}
@MISC{Collobert08aunified,
author = {Ronan Collobert and Jason Weston},
title = {A unified architecture for natural language processing: Deep neural networks with multitask learning},
year = {2008}
}
@inproceedings{berardi2015word,
title={Word Embeddings Go to Italy: A Comparison of Models and Training Datasets.},
author={Berardi, Giacomo and Esuli, Andrea and Marcheggiani, Diego},
booktitle={IIR},
year={2015}
}
@inproceedings{koper2015multilingual,
title={Multilingual Reliability and" Semantic" Structure of Continuous Word Spaces.},
author={K{\"o}per, Maximilian and Scheible, Christian and im Walde, Sabine Schulte},
booktitle={IWCS},
pages={40--45},
year={2015}
}
@inproceedings{elrazzaz2017methodical,
title={Methodical Evaluation of Arabic Word Embeddings},
author={Elrazzaz, Mohammed and Elbassuoni, Shady and Shaban, Khaled and Helwe, Chadi},
booktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
volume={2},
pages={454--458},
year={2017}
}
@inproceedings{Luong-etal:conll13:morpho,
Address = {Sofia, Bulgaria},
Author = {Luong, Minh-Thang and Socher, Richard and Manning, Christopher D.},
Booktitle = {CoNLL},
Title = {Better Word Representations with Recursive Neural Networks for Morphology},
Year = {2013},
}
@inproceedings{Andreas:2014,
address = {Baltimore, Maryland},
author = {Andreas, Jacob and Klein, Dan},
booktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
month = jun,
pages = {822--827},
publisher = {Association for Computational Linguistics},
title = {{How much do word embeddings encode about syntax?}},
url = {http://www.aclweb.org/anthology-new/P/P14/P14-2133.bib},
year = {2014}
}
@inproceedings{Huang-2012,
author = {Huang, Eric H. and Socher, Richard and Manning, Christopher D. and Ng, Andrew Y.},
title = {Improving Word Representations via Global Context and Multiple Word Prototypes},
booktitle = {Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1},
series = {ACL '12},
year = {2012},
location = {Jeju Island, Korea},
pages = {873--882},
numpages = {10},
url = {http://dl.acm.org/citation.cfm?id=2390524.2390645},
acmid = {2390645},
publisher = {Association for Computational Linguistics},
address = {Stroudsburg, PA, USA},
}
@inproceedings{vsnajder2013building,
title={Building and evaluating a distributional memory for Croatian},
author={{\v{S}}najder, Jan and Pad{\'o}, Sebastian and Agi{\'c}, {\v{Z}}eljko},
booktitle={Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
volume={2},
pages={784--789},
year={2013}
}
@inproceedings{zuanovic2014experiments,
title={Experiments with neural word embeddings for Croatian},
author={Zuanovic, Leo and Karan, Mladen and {\v{S}}najder, Jan},
booktitle={Proceedings of the 9th Language Technologies Conference},
pages={69--72},
year={2014}
}