| Universal Dependencies 1.2 J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ... Universal Dependencies Consortium, 2015 | 232 | 2015 |
| Un grand corpus oral «disponible»: le corpus d'Orléans 1 1968-2012 I Eshkol-Taravella, O Baude, D Maurel, L Hriba, C Dugua, I Tellier Revue TAL 53 (2), 17-46, 2011 | 81 | 2011 |
| Intégrer des connaissances linguistiques dans un CRF: application à l'apprentissage d'un segmenteur-étiqueteur du français M Constant, I Tellier, D Duchier, Y Dupont, A Sigogne, S Billot TALN 1, 321, 2011 | 61 | 2011 |
| Transforming XML trees for efficient classification and clustering L Candillier, I Tellier, F Torre International Workshop of the Initiative for the Evaluation of XML Retrieval …, 2005 | 54 | 2005 |
| Reducing the cold-start problem in content recommendation through opinion classification D Poirier, F Fessant, I Tellier 2010 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2010 | 49 | 2010 |
| Semantic annotation of the acl anthology corpus for the automatic analysis of scientific literature H Zargayouna, D Buscaldi, I Tellier, T Charnois LREC 2016, 2016 | 35 | 2016 |
| Cascade evaluation of clustering algorithms L Candillier, I Tellier, F Torre, O Bousquet European Conference on Machine Learning, 574-581, 2006 | 35 | 2006 |
| Meaning helps learning syntax I Tellier International Colloquium on Grammatical Inference, 25-36, 1998 | 35 | 1998 |
| Evaluating the impact of external lexical resources into a crf-based multiword segmenter and part-of-speech tagger M Constant, I Tellier 8th International Conference on Language Resources and Evaluation (LREC'12 …, 2012 | 30 | 2012 |
| Les coréférences à l'oral: une expérience d'apprentissage automatique sur le corpus ANCOR A Désoyer, F Landragin, I Tellier, A Lefeuvre, JY Antoine Revue TAL 55 (2), 97-121, 2015 | 28 | 2015 |
| SSC: statistical subspace clustering L Candillier, I Tellier, F Torre, O Bousquet International Workshop on Machine Learning and Data Mining in Pattern …, 2005 | 27 | 2005 |
| Conditional random fields for xml trees F Jousse, R Gilleron, I Tellier, M Tommasi Workshop on Mining and Learning in Graphs, 2006 | 26 | 2006 |
| Towards text-based recommendations D Poirier, I Tellier, F Fessant, J Schluth RIAO 2010: 9th international conference on Adaptivity, Personalization and …, 2010 | 24 | 2010 |
| Exploring vector spaces for semantic relations H Zargayouna, I Tellier, D Buscaldi, T Charnois Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 21 | 2017 |
| Improving recurrent neural networks for sequence labelling M Dinarelli, I Tellier arXiv preprint arXiv:1606.02555, 2016 | 21 | 2016 |
| De la Classification d'Opinion à la Recommandation: l'Apport des Textes Communautaires D Poirier, F Fessant, I Tellier Revue TAL 51 (3), 19-46, 2010 | 21 | 2010 |
| Champs Markoviens Conditionnels pour l'extraction d'information I Tellier, M Tommasi Modèles probabilistes pour l'accès à l'information textuelle, 223-267, 2011 | 20 | 2011 |
| A polynomial algorithm for the membership problem with categorial grammars A Finkel, I Tellier Theoretical computer science 164 (1-2), 207-221, 1996 | 20 | 1996 |
| Label-dependencies aware recurrent neural networks Y Dupont, M Dinarelli, I Tellier International Conference on Computational Linguistics and Intelligent Text …, 2017 | 19 | 2017 |
| Pos-tagging for oral texts with crf and category decomposition I Tellier, I Eshkol, S Taalab, JP Prost Research in Computing Science 46, 79--90, 2010 | 18 | 2010 |
Marc TommasiProfessor of Computer Science, Lille UniversityAdresse e-mail validée de univ-lille.fr
