Y. Bengio, H. Schwenk, J. Senécal, F. Morin, and J. Gauvain, Neural Probabilistic Language Models, Innovations in Machine Learning, 2006.
DOI : 10.1007/3-540-33486-6_6
URL : https://hal.archives-ouvertes.fr/hal-01434258

A. Bordes, S. Chopra, and J. Weston, Question Answering with Subgraph Embeddings, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014.
DOI : 10.3115/v1/D14-1067

A. Bordes, N. Usunier, A. García-durán, J. Weston, and O. Yakhnenko, Translating embeddings for modeling multi-relational data, NIPS, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00920777

G. Cao, J. Nie, and J. Bai, Integrating word relationships into language models, Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '05, 2005.
DOI : 10.1145/1076034.1076086

S. Clinchant, C. Goutte, and E. Gaussier, Lexical Entailment for Information Retrieval, ECIR, 2006.
DOI : 10.1007/11735106_20

M. Faruqui, J. Dodge, S. K. Jauhar, C. Dyer, E. Hovy et al., Retrofitting Word Vectors to Semantic Lexicons, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2015.
DOI : 10.3115/v1/N15-1184

B. Hu, Z. Lu, H. Li, and Q. Chen, Convolutional neural network architectures for matching natural language sentences, NIPS, 2014.

P. Huang, X. He, J. Gao, L. Deng, A. Acero et al., Learning deep structured semantic models for web search using clickthrough data, Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, CIKM '13, 2013.
DOI : 10.1145/2505515.2505665

Q. V. Le and T. Mikolov, Distributed representations of sentences and documents, ICML, 2014.

T. Mikolov, K. Chen, G. Corrado, and J. Dean, Efficient estimation of word representations in vector space, 2013.

T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean, Distributed representations of words and phrases and their compositionality, NIPS, 2013.

B. Mitra, Exploring Session Context using Distributed Representations of Queries and Reformulations, Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '15, 2015.
DOI : 10.1145/2766462.2767702

B. Mitra, E. Nalisnick, N. Craswell, and R. Caruana, A dual embedding space model for document ranking, 2016.

H. Palangi, L. Deng, Y. Shen, J. Gao, X. He et al., Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.24, issue.4, 2015.
DOI : 10.1109/TASLP.2016.2520371

J. Pennington, R. Socher, and C. Manning, Glove: Global Vectors for Word Representation, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014.
DOI : 10.3115/v1/D14-1162

A. Severyn and A. Moschitti, Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks, Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '15, 2015.
DOI : 10.1145/2766462.2767738

Y. Shen, X. He, J. Gao, L. Deng, and G. Mesnil, A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval, Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM '14, 2014.
DOI : 10.1145/2661829.2661935

C. Xu, Y. Bai, J. Bian, B. Gao, G. Wang et al., RC-NET, Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM '14, 2014.
DOI : 10.1145/2661829.2662038

M. Yu and M. Dredze, Improving Lexical Embeddings with Semantic Knowledge, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2014.
DOI : 10.3115/v1/P14-2089