B. P. Grave-e and J. A. Mikolov-t, Enriching word vectors with subword information, Transactions of the Association of Computational Linguistics, vol.5, pp.135-146, 2017.

B. Bucilu?a, C. , and C. R. Niculescu-mizil, Model compression, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '06, pp.535-541, 2006.
DOI : 10.1145/1150402.1150464

C. W. , J. N. , and L. Q. Vinyals-o, Listen, attend and spell : A neural network for large vocabulary conversational speech recognition, 2016.

C. Y. Ng-h and . Zhong-z, Nus-pt : Exploiting parallel texts for word sense disambiguation in the english all-words tasks, Proceedings of the 4th International Workshop on Semantic Evaluations, SemEval '07, pp.253-256, 2007.

C. K. Van-merrienboer-b and B. D. Bengio-y, On the properties of neural machine translation : Encoder?decoder approaches, Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation, pp.103-111, 2014.

E. P. Cotton-s, Senseval-2 : Overview, The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems, SENSEVAL '01, p.p, 2001.

H. G. Vinyals-o and . J. Dean, Distilling the knowledge in a neural network. arXiv preprint, 2015.

H. S. Schmidhuber-j, Long short-term memory, Neural Computation, vol.9, issue.8, pp.1735-1780, 1997.

H. E. , M. M. , P. M. , and R. L. Weischedel-r, Ontonotes : The 90, Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume : Short Papers, NAACL-Short '06, pp.57-60, 2006.

I. I. and P. M. Navigli-r, Embeddings for word sense disambiguation : An evaluation study, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pp.897-907, 2016.

I. N. Baker-c, . Fellbaum-c, . Fillmore-c, and . Passonneau-r, Masc : the manually annotated sub-corpus of american english, Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08) : European Language Resources Association (ELRA), 2008.

K. M. Salomonsson-h, Word sense disambiguation using a bidirectional lstm, 2016.

K. D. Ba-j, Adam : A method for stochastic optimization, 2014.

M. T. Sutskever-i, C. K. , and C. G. Dean, Distributed representations of words and phrases and their compositionality, Advances in Neural Information Processing Systems 26, pp.3111-3119, 2013.

M. G. Leacock-c and T. R. Bunker-r, A semantic concordance, Proceedings of the workshop on Human Language Technology, HLT '93, pp.303-308, 1993.

M. A. Navigli-r, Semeval-2015 task 13 : Multilingual all-words sense disambiguation and entity linking, Proceedings of the 9th International Workshop on Semantic Evaluation, pp.288-297, 2015.

N. R. and J. D. Vannella-d, SemEval-2013 Task 12 : Multilingual Word Sense Disambiguation, Second Joint Conference on Lexical and Computational Semantics (*SEM) Proceedings of the Seventh International Workshop on Semantic Evaluation, pp.222-231, 2013.

N. R. Litkowski-k and . Hargraves-o, Semeval-2007 task 07 : Coarse-grained english all-words task, SemEval-2007, pp.30-35, 2007.

N. H. Lee-h, Dso corpus of sense-tagged english, 1997.

P. J. and S. R. Manning-c, Glove : Global vectors for word representation, Empirical Methods in Natural Language Processing (EMNLP), pp.1532-1543, 2014.

P. S. Loper-e and D. D. Palmer-m, Semeval-2007 task 17 : English lexical sample, srl and all words, Proceedings of the 4th International Workshop on Semantic Evaluations, SemEval '07, pp.87-92, 2007.

R. A. Camacho-collados and . Navigli-r, Word sense disambiguation : A unified evaluation framework and empirical comparison, Proceedings of the 15th Conference of the European Chapter, pp.99-110, 2017.

R. A. Delli-bovi-c and . Navigli-r, Neural sequence learning models for word sense disambiguation, Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp.1167-1178, 2017.

S. B. Palmer-m, The english all-words task, Proceedings of SENSEVAL-3, the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, 2004.

S. I. Vinyals-o and . V. Le-q, Sequence to sequence learning with neural networks, Proceedings of the 27th International Conference on Neural Information Processing Systems, pp.3104-3112, 2014.

T. K. Ng-h, One million sense-tagged instances for word sense disambiguation and induction, Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pp.338-344, 2015.

V. L. and L. B. Schwab-d, UFSAC : Unification of Sense Annotated Corpora and Tools, 2017.

Y. D. , R. J. Doherty-r, . Evans-c, and . Altendorf-e, Semi-supervised word sense disambiguation with neural models, 2016.

Z. Z. Ng-h, It makes sense : A wide-coverage word sense disambiguation system for free text, Proceedings of the ACL 2010 System Demonstrations, ACLDemos '10, pp.78-83, 2010.