V. Caruso, Online specialised dictionaries: a critical survey In Electronic lexicography in the 21st century: New Applications for New Users: Proceedings of eLex 2011, pp.10-12, 2011.

K. Church and P. Hanks, Word association norms, mutual information, and lexicography, Proceedings of the 27th annual meeting on Association for Computational Linguistics -, pp.76-83, 1989.
DOI : 10.3115/981623.981633

K. Thomas, R. Landauer, and . Harshman, Indexing by latent semantic analysis, JASIS, vol.41, pp.391-407, 1990.

G. Demartini, . Chakrabarti, M. Soumen, . Van-den, B. Berg et al., Finding Experts Using WikipediaFocused crawling: a new approach to topic-specific Web resource discovery, FEWS Computer Networks, vol.290, issue.31 11, pp.33-41, 1999.

J. Firth and . Rupert, Papers in linguistics, 1934-1951, 1957.

Y. Goldberg and O. Levy, Word2vec explained: Deriving Mikolov et al.'s Negative-sampling Word-embedding Method

G. Grefenstette, Explorations in automatic thesaurus discovery, Kluwer International Series in Engineering and Computer Science, vol.278, 1994.
DOI : 10.1007/978-1-4615-2710-7

G. Grefenstette, Personal Semantics, Language Production, Cognition, and the Lexicon, pp.203-219, 2015.
DOI : 10.1007/978-3-319-08043-7_12
URL : https://hal.archives-ouvertes.fr/hal-00950185

G. Grefenstette, INRIASAC: Simple hypernym extraction methods. SemEval-2015, pp.911-914, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01112844

Z. S. Harris, Distributional structure, pp.146-162, 1954.

D. Hindle, Noun classification from predicate-argument structures, Proceedings of the 28th annual meeting on Association for Computational Linguistics -, pp.118-125, 1990.
DOI : 10.3115/981823.981857

A. Kilgarriff, P. Rychly, P. Smrz, and D. Tugwell, The Sketch Engine, Proceedings of Euralex, 2004.

. Lee, J. Jung-hyun, J. Ha, S. Jung, and . Lee, Semantic contextual advertising based on the open directory project, ACM Transactions on the Web, vol.7, issue.4, p.24, 2013.
DOI : 10.1145/2529995.2529997

O. Levy and Y. Goldberg, Neural Word Embeddings as Implicit Matrix Factorization, Proceedings of NIPS, 2014.

O. Levy, Y. Goldberg, and I. Ramat-gan, Linguistic Regularities in Sparse and Explicit Word Representations, Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014.
DOI : 10.3115/v1/W14-1618

O. Levy, Y. Goldberg, and I. Dagan, Improving distributional similarity with lessons learned from word embeddings, Transactions of the Association for Computational Linguistics, vol.3, pp.211-225, 2015.

D. Lin, Automatic retrieval and clustering of similar words, Proceedings of COLING-ACL, pp.768-774, 1998.

T. Mikolov, I. Sutskever, K. Chen, S. Greg, J. Corrado et al., Distributed representations of words and phrases and their compositionality, NIPS, pp.3111-3120, 2013.

S. Osi?ski and D. Weiss, Conceptual Clustering Using Lingo Algorithm: Evaluation on Open Directory Project Data, Intelligent Information Processing and Web Mining, pp.369-377, 2004.
DOI : 10.1007/978-3-540-39985-8_38

J. Pennington, R. Socher, and C. D. Manning, Glove: Global Vectors for Word Representation, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.1532-1543
DOI : 10.3115/v1/D14-1162

G. Ruge, Experiments on linguistically-based term associations, RIAO'91, pp.528-545, 1991.
DOI : 10.1016/0306-4573(92)90078-E

J. ?eva, M. Schatten, and P. Grd, Open Directory Project based universal taxonomy for Personalization of Online (Re)sources, Expert Systems with Applications, vol.42, issue.17-18, pp.6306-6314, 2015.
DOI : 10.1016/j.eswa.2015.04.033

P. D. Turney and P. Pantel, From frequency to meaning: vector space models of semantics, Journal of Artificial Intelligence Research, vol.37, issue.1, pp.141-188, 2010.

W. Yin and H. Schütze, Learning Word Meta- Embeddings by Using Ensembles of Embedding Sets, pp.1508-04257