, ment, les valeurs des précisions très élevées reflètent également la précision des annotations sémantiques

M. Alrahabi, J. Et, and . Desclés, Automatic annotation of direct reported speech in Arabic and French, according to a semantic map of ennunciative modalities, 6th Internatilnal Conference of NLP, 2008.

I. Atanassova, Exploitation informatique des annotations sémantiques automatiques d'Excom pour la recherche d'informations et la navigation, 2012.

I. Atanassova, J. Desclés, A. Franchi, and F. L. Priol, La plate-forme excom comme outil automatique d'annotations sémantiques des textes pour la catégorisation des informations sur le web, Colloqué n Internet : besoin de communiquer autrement ? z, 2008.

R. Baeza-yates, P. Boldi, and C. Castillo, Generalizing PageRank : damping functions for link-based ranking algorithms, Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, vol.1, pp.308-315, 2006.

R. Baeza-yates, B. Et, and . Ribeiro-neto, Modern Information Retrieval, 1999.

M. Bertin, Categorizations and annotations of citation in research evaluation, FLAIRS, Coconut Grove, Floride, 2008.
URL : https://hal.archives-ouvertes.fr/hal-01941200

M. Bertin, Bibliosématique : une technique linguistique et informatique par exploration contextuelle, 2011.

Y. Cao, J. Xu, T. Liu, H. Li, Y. Huang et al., Adapting ranking SVM to document retrieval, Proceedings of the 29th annual international ACM SIGIR conference on Research and development in IR, pp.186-193, 2006.

W. Cohen, R. Schapire, and Y. Singer, Learning to order things, Journal of Artificial Intelligence Research, vol.10, pp.243-270, 1999.

R. Cummins, C. Et, and . Oriordan, Evolving local and global weighting schemes in information retrieval, Information Retrieval, vol.9, issue.3, pp.311-330, 2006.

N. Denos, Modélisation de la pertinence en recherche d'information : modèle conceptuel, formalisation et application, 1997.

J. Desclés, E. Cartier, A. Jackiewicz, and J. Minel, Textual Processing and Contextual Exploration Method. CONTEXT'97, Rio de Janeiro, vol.1, pp.189-197, 1997.

J. Desclés, B. Et, and . Djioua, Machines d'annotation et d'indexation discursives de textes : EXCOM/MOCXE, Annotation automatique de relations sémantiques et recherche d'informations : vers de nouveaux accès aux savoirs, 2006.

B. Djioua, J. G. Flores, A. Blais, J. Desclés, G. Guibert et al., Excom : an automatic annotation engine for semantic information, The 19th international FLAIRS Conference, vol.1, pp.285-290, 2006.

Y. Freund, R. Iyer, R. Schapire, and Y. Singer, An efficient boosting algorithm for combining preferences, The Journal of Machine Learning Research, vol.4, pp.933-969, 2003.

Z. Gyöngyi, H. Garcia-molina, and E. J. Pedersen, Combating web spam with trustrank, Proceedings of the 30th international conference on Very large data bases, vol.30, pp.576-587, 2004.

T. Haveliwala, Topic-sensitive pagerank : A context-sensitive ranking algorithm for web search, IEEE transactions on knowledge and data engineering, pp.784-796, 2003.

K. Järvelin, J. Et, and . Kekäläinen, Cumulated gain-based evaluation of IR techniques, ACM Transactions on Information Systems (TOIS), vol.20, issue.4, pp.422-446, 2002.

J. Kekäläinen, K. Et, and . Järvelin, Using graded relevance assessments in ir evaluation, Journal of the American Society for Information Science and Technology, vol.53, issue.13, pp.1120-1129, 2002.

J. Kleinberg, Authoritative sources in a hyperlinked environment, Journal of the ACM, vol.46, issue.5, pp.604-632, 1999.
DOI : 10.1515/9781400841356.514

URL : http://www.cse.msu.edu/~cse960/Papers/LinkAnalysis/auth.pdf

V. Krishnan, R. Et, and . Raj, Web spam detection with anti-trust rank, 2nd International Workshop on Adversarial Information Retrieval on the Web (AIRWeb), 2006.

Y. Liu, B. Gao, T. Liu, Y. Zhang, Z. Ma et al., Browserank : letting web users vote for page importance, Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, pp.451-458, 2008.

V. Lopez, M. Pasin, and E. E. Motta, Aqualog : An ontology-portable question answering system for the semantic web, The Semantic Web : Research and Applications, pp.135-166, 2005.
DOI : 10.1007/11431053_37

URL : https://link.springer.com/content/pdf/10.1007%2F11431053_37.pdf

V. Lopez, V. Uren, E. Motta, and M. Pasin, Aqualog : An ontology-driven question answering system for organizational semantic intranets, Web Semantics : Science, Services and Agents on the World Wide Web, vol.5, issue.2, pp.72-105, 2007.
DOI : 10.2139/ssrn.3199356

L. Page, S. Brin, R. Motwani, and E. T. Winograd, The pagerank citation ranking : Bringing order to the web, 1998.

M. Richardson, P. Et, and . Domingos, The intelligent surfer : Probabilistic combination of link and content information in pagerank, Advances in neural information processing systems, vol.2, pp.1441-1448, 2002.

S. Robertson, S. Walker, S. Jones, M. Hancock-beaulieu, and E. M. Gatford, Okapi at trec-3, Overview of the Third Text REtrieval Conference (TREC-3), pp.109-126, 1995.

T. Saracevic, The concept of "relevance" in information science : A historical review. Introduction to information science, pp.111-151, 1970.

T. Saracevic, Relevance reconsidered, Proceedings of the 2nd Conference on Conceptions of Library and Information Science, pp.201-218, 1996.

B. Simonnot, De la pertinence à l'utilité en recherche d'information : le cas du Web, Recherches récentes en sciences de l'information : convergences et dynamiques, Actes du colloque Mics-Lerass, pp.393-410, 2002.

J. Tomlin, A new paradigm for ranking pages on the world wide web, Proceedings of the 12th international conference on World Wide Web, pp.350-355, 2003.
DOI : 10.1145/775201.775202

N. Usunier and . Atanassova, Apprentissage de fonctions d'ordonnancement : une étude théorique de I, 2006.

, la réduction à la classification et deux applications à la Recherche d'Information

M. Volkovs, R. Et, and . Zemel, Boltzrank : learning to maximize expected ranking gain, Proceedings of the 26th Annual International Conference on Machine Learning, pp.1089-1096, 2009.