Neural machine translation by jointly learning to align and translate, 2014. ,
Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp.238-247, 2014. ,
DOI : 10.3115/v1/P14-1023
Neural Probabilistic Language Models, J. Mach. Learn. Res, vol.3, pp.1137-1155, 2003. ,
DOI : 10.1007/3-540-33486-6_6
URL : https://hal.archives-ouvertes.fr/hal-01434258
Improving Methods for Single-label Text Categorization, 2007. ,
A unified architecture for natural language processing, Proceedings of the 25th international conference on Machine learning, ICML '08, pp.160-167, 2008. ,
DOI : 10.1145/1390156.1390177
Semisupervised sequence learning, Advances in Neural Information Processing Systems 28, pp.3061-3069, 2015. ,
Stochastic ratio matching of rbms for sparse high-dimensional inputs, Advances in Neural Information Processing Systems 26, pp.1340-1348, 2013. ,
A study of supervised term weighting scheme for sentiment analysis, Expert Systems with Applications, vol.41, issue.7, pp.3506-3513, 2014. ,
DOI : 10.1016/j.eswa.2013.10.056
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp.49-54, 2014. ,
DOI : 10.3115/v1/P14-2009
Modeling Interestingness with Deep Neural Networks, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.2-13, 2014. ,
DOI : 10.3115/v1/D14-1002
A primer on neural network models for natural language processing. CoRR, abs/1510, p.726, 2015. ,
The Role of Syntax in Vector Space Models of Compositional Semantics, Proceedings of ACL, 2013. ,
Deep Unordered Composition Rivals Syntactic Methods for Text Classification, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp.1681-1691, 2015. ,
DOI : 10.3115/v1/P15-1162
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.103-112, 2015. ,
DOI : 10.3115/v1/N15-1011
A Convolutional Neural Network for Modelling Sentences, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp.655-665, 2014. ,
DOI : 10.3115/v1/P14-1062
Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification, Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pp.79-83, 2014. ,
DOI : 10.3115/v1/W14-2614
Convolutional Neural Networks for Sentence Classification, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.1746-1751, 2014. ,
DOI : 10.3115/v1/D14-1181
Proposing a new term weighting scheme for text categorization, Proceedings of the 21st National Conference on Artificial Intelligence, pp.763-768, 2006. ,
Distributed representations of sentences and documents, Proceedings of the 31th International Conference on Machine Learning, ICML 2014, pp.21-26, 2014. ,
Feature weight tuning for recursive neural networks. CoRR, abs/1412, 2014. ,
Not all contexts are created equal: Better word representations with variable attention Association for Computational Lin- guistics, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp.1367-1372, 2015. ,
Learning word vectors for sentiment analysis, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp.142-150, 2011. ,
Proceedings, chapter A New Supervised Term Ranking Method for Text Categorization, AI 2010: Advances in Artificial Intelligence: 23rd Australasian Joint Conference, pp.102-111, 2010. ,
Introduction to Information Retrieval, chapter Scoring, term weighting, and the vector space model, 2008. ,
Efficient estimation of word representations in vector space, 2013. ,
Linguistic regularities in continuous space word representations, Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.746-751, 2013. ,
Large-Scale Multi-label Text Classification ??? Revisiting Neural Networks, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 2, pp.437-452, 2014. ,
DOI : 10.1007/978-3-662-44851-9_28
A study of information retrieval weighting schemes for sentiment analysis Association for Computational Linguis- tics, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics , ACL '10, pp.1386-1395, 2010. ,
Seeing stars, Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics , ACL '05, pp.115-124, 2005. ,
DOI : 10.3115/1219840.1219855
Glove: Global Vectors for Word Representation, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.1532-1543, 2014. ,
DOI : 10.3115/v1/D14-1162
Term Weighting Schemes for Question Categorization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.5, pp.1009-1021, 2011. ,
DOI : 10.1109/TPAMI.2010.154
Recursive deep models for semantic compositionality over a sentiment treebank, Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp.1631-1642, 2013. ,
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp.1556-1566, 2015. ,
DOI : 10.3115/v1/P15-1150
Word representations: A simple and general method for semi-supervised learning, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, ACL '10, pp.384-394, 2010. ,
Visualizing high-dimensional data using t-sne, Journal of Machine Learning Research, vol.9, pp.2579-2605, 2008. ,
Baselines and bigrams: Simple, good sentiment and topic classification, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers, pp.90-94, 2012. ,
Semantic clustering and convolutional neural network for short text categorization Association for Computational Linguis- tics, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pp.352-357, 2015. ,
Show, attend and tell: Neural image caption generation with visual attention, Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, pp.6-11, 2015. ,
ADADELTA: an adaptive learning rate method. CoRR, abs/1212, 2012. ,
A sensitivity analysis of (and practitioners' guide to) convolutional neural networks for sentence classification, 2015. ,