N. Asher, Lexical Meaning in Context: A Web of Words, 2011.

M. Baroni and R. Zamparelli, Nouns are vectors, adjectives are matrices: Representing adjective-noun constructions in semantic space, Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp.1183-1193, 2010.

M. Baroni, S. Bernardini, A. Ferraresi, and E. Zanchetta, The wacky wide web: A collection of very large linguistically processed web-crawled corpora, Language Resources and Evaluation, vol.43, issue.3, pp.209-226, 2009.

C. Bassac, B. Mery, and C. Retoré, Towards a Type-theoretical account of lexical semantics, Journal of Logic, Language and Information, vol.19, issue.2, pp.229-245, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00408308

W. Blacoe and M. Lapata, A comparison of vector-based representations for semantic composition, Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp.546-556, 2012.

M. Candito, B. Crabbé, and P. Denis, Statistical french dependency parsing: treebank conversion and first results, Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010), pp.1840-1847, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00495196

W. Kenneth, P. Church, and . Hanks, Word association norms, mutual information & lexicography, Computational Linguistics, vol.16, issue.1, pp.22-29, 1990.

B. Coecke, M. Sadrzadeh, and S. Clark, Mathematical foundations for a compositional distributed model of meaning, Lambek Festschrift, Linguistic Analysis, vol.36, p.36, 2010.

P. Denis and B. Sagot, Exploitation d'une ressource lexicale pour la construction d'unétiqueteur morphosyntaxiqueétat-de-l'art du français, Traitement Automatique des Langues Naturelles: TALN 2010, 2010.

G. Dinu, . Nghia-the, M. Pham, and . Baroni, Dissect -distributional semantics composition toolkit, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp.31-36, 2013.

G. Dinu, . Nghia-the, M. Pham, and . Baroni, General estimation and evaluation of compositional distributional semantic models, Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, pp.50-58, 2013.

E. Giesbrecht, Towards a matrix-based distributional model of meaning, Proceedings of the NAACL HLT 2010 Student Research Workshop, pp.23-28, 2010.

G. H. Golub and C. F. Van-loan, Matrix Computations, 1996.

E. Grefenstette and M. Sadrzadeh, Experimental support for a categorical compositional distributional model of meaning, Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pp.1394-1404, 2011.

E. Grefenstette and M. Sadrzadeh, Experimenting with transitive verbs in a discocat, Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics, pp.62-66, 2011.

E. Grefenstette, G. Dinu, Y. Zhang, M. Sadrzadeh, and M. Baroni, Multi-step regression learning for compositional distributional semantics, Proceedings of the 10th International Conference on Computational Semantics (IWCS), pp.131-142, 2013.

S. Zellig and . Harris, Distributional structure. Word, vol.10, pp.146-162, 1954.

H. Kamp, Two theories about adjectives. Formal semantics of natural language, pp.123-155, 1975.

T. G. Kolda and B. W. Bader, Tensor decompositions and applications, SIAM Review, vol.51, issue.3, pp.455-500, 2009.

I. Korkontzelos, T. Zesch, F. M. Zanzotto, and C. Biemann, Semeval-2013 task 5: Evaluating phrasal semantics, Proceedings of the Seventh International Workshop on Semantic Evaluation, vol.2, pp.39-47, 2013.

T. Landauer and S. Dumais, A solution to Plato's problem: The Latent Semantic Analysis theory of the acquisition, induction, and representation of knowledge, Psychology Review, vol.104, pp.211-240, 1997.

D. Daniel, H. S. Lee, and . Seung, Algorithms for non-negative matrix factorization, Advances in Neural Information Processing Systems 13, pp.556-562, 2000.

D. Lin, Automatic retrieval and clustering of similar words, Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics (COLING-ACL98), vol.2, pp.768-774, 1998.

Z. Luo, Type-theoretical semantics with coercive subtyping, vol.20, 2010.

M. Marelli, L. Bentivogli, M. Baroni, R. Bernardi, S. Menini et al., Semeval-2014 task 1: Evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment, Proceedings of SemEval 2014: International Workshop on Semantic Evaluation, 2014.

J. Mitchell and M. Lapata, Vector-based models of semantic composition, proceedings of ACL-08: HLT, pp.236-244, 2008.

J. Mitchell and M. Lapata, Composition in distributional models of semantics, Cognitive Science, vol.34, issue.8, pp.1388-1429, 2010.

J. Nivre, J. Hall, and J. Nilsson, Maltparser: A data-driven parser-generator for dependency parsing, Proceedings of LREC-2006, pp.2216-2219, 2006.

J. Nivre, J. Hall, and J. Nilsson, Maltparser: A data-driven parser-generator for dependency parsing, Proceedings of LREC-2006, pp.2216-2219, 2006.

;. Barbara-h-partee, R. Bäuerle, and . Zim-mermann, Privative adjectives: subsective plus coercion, TE,éditeurs: Presuppositions and Discourse: Essays Offered to Hans Kamp, pp.273-285, 2010.

R. Socher, B. Huval, C. D. Manning, and A. Y. Ng, Semantic compositionality through recursive matrix-vector spaces, Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp.1201-1211, 2012.

K. Toutanova, D. Christopher, and . Manning, Enriching the knowledge sources used in a maximum entropy part-of-speech tagger, Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC-2000), pp.63-70, 2000.

K. Toutanova, D. Klein, C. Manning, and Y. Singer, Feature-rich part-ofspeech tagging with a cyclic dependency network, Proceedings of HLT-NAACL 2003, pp.252-259, 2003.

P. 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.

T. Van-de-cruys, A non-negative tensor factorization model for selectional preference induction, Natural Language Engineering, vol.16, issue.4, pp.417-437, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00546045

F. Massimo-zanzotto, I. Korkontzelos, F. Fallucchi, and S. Manandhar, Estimating linear models for compositional distributional semantics, Proceedings of the 23rd International Conference on Computational Linguistics, pp.1263-1271, 2010.