O. Abend, R. Reichart, and A. Rappoport, Unsupervised argument identification for Semantic Role Labeling, Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1, ACL-IJCNLP '09, 2009.
DOI : 10.3115/1687878.1687884

I. R. Altamirano and L. Alonso-i-alemany, IRASubcat, a highly customizable, language independent tool for the acquisition of verbal subcategorization information from corpus, Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas, pp.84-91, 2010.

A. Arun and F. Keller, Lexicalization in crosslinguistic probabilistic parsing, Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics , ACL '05, 2005.
DOI : 10.3115/1219840.1219878

B. W. Bader and T. G. Kolda, Matlab tensor toolbox version 2.2, 2007.

R. Basili, D. D. Cao, P. Marocco, and M. Pennacchiotti, Learning selectional preferences for entailment or paraphrasing rules, Proceedings of RANLP 2007, 2007.

R. Bhagat, P. Pantel, and E. Hovy, Ledir: An unsupervised algorithm for learning directionality of inference rules, Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-07), pp.161-170, 2007.

A. Bharati, S. Venkatapathy, and P. Reddy, Inferring semantic roles using subcategorization frames and maximum entropy model, Proceedings of CoNLL, pp.165-168, 2005.

D. Blei, A. Ng, J. , and M. , Latent dirichlet allocation, The Journal of Machine Learning Research, vol.3, pp.993-1022, 2003.

T. Briscoe and J. Carroll, Automatic extraction of subcategorization from corpora, Proceedings of the fifth conference on Applied natural language processing -, pp.356-363, 1997.
DOI : 10.3115/974557.974609

T. Briscoe and J. Carroll, Robust accurate statistical annotation of general text, Proceedings of the 3rd International Conference on Language Resources and Evaluation, pp.1499-1504, 2002.

G. Carroll and M. Rooth, Valence induction with a head-lexicalized pcfg, Proceedings of the 3rd Conference on Empirical Methods in Natural Language Processing (EMNLP 3), pp.36-45, 1996.

J. Carroll and A. Fang, The Automatic Acquisition of Verb Subcategorisations and Their Impact on the Performance of an HPSG Parser, Proceedings of the 1st International Joint Conference on Natural Language Processing (IJCNLP), pp.107-114, 2004.
DOI : 10.1007/978-3-540-30211-7_68

P. Chesley and S. Salmon-alt, Automatic extraction of subcategorization frames for french, Proceedings of the Language Resources and Evaluation Conference (LREC), pp.253-258, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00110977

K. Cholakov and G. Van-noord, Using unknown word techniques to learn known words, Proceedings of EMNLP, pp.902-912, 2010.

G. Dinu and M. Lapata, Measuring distributional similarity in context, Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp.1162-1172, 2010.

?. D?-ebowski, Valence extraction using EM selection and co-occurrence matrices. Language resources and evaluation, pp.301-327, 2009.

K. Erk, A simple, similarity-based model for selectional preferences, Proceedings of ACL 2007, 2007.

D. Gildea and D. Jurafsky, Automatic Labeling of Semantic Roles, Computational Linguistics, vol.19, issue.2, pp.245-288, 2002.
DOI : 10.1016/0010-0285(72)90022-9

J. Haji?, M. Cmejrek, B. Dorr, Y. Ding, J. Eisner et al., Natural language generation in the context of machine translation, 2002.

D. Ienco, S. Villata, and C. Bosco, Automatic extraction of subcategorization frames for italian, Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), 2008.

D. Kawahara and S. Kurohashi, Acquiring reliable predicate-argument structures from raw corpora for case frame compilation, Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), 2010.

K. Kipper-schuler, VerbNet: A broad-coverage, comprehensive verb lexicon, 2005.

T. G. Kolda and B. W. Bader, Tensor Decompositions and Applications, SIAM Review, vol.51, issue.3, pp.455-500, 2009.
DOI : 10.1137/07070111X

A. Korhonen, Semantically motivated subcategorization acquisition, Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition -, pp.51-58, 2002.
DOI : 10.3115/1118627.1118634

A. Korhonen, Y. Krymolowski, and T. Briscoe, A large subcategorization lexicon for natural language processing applications, Proceedings of LREC, 2006.

T. Landauer and S. Dumais, A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge., Psychological Review, vol.104, issue.2, pp.211-240, 1997.
DOI : 10.1037/0033-295X.104.2.211

A. Lenci, B. Mcgillivray, S. Montemagni, and V. Pirrelli, Unsupervised acquisition of verb subcategorization frames from shallow-parsed corpora, Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), 2008.

T. Lippincott, A. Korhonen, Ó. Séaghdha, and D. , Learning syntactic verb frames using graphical models, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012.

C. Messiant, ASSCI: A subcategorization frames acquisition system for French verbs, Proceedings of the Association for Computational Linguistics (ACL, Student Research Workshop), pp.55-60, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00539029

A. Moschitti and R. Basili, Verb subcategorization kernels for automatic semantic labeling, Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition, DeepLA '05, pp.10-17, 2005.
DOI : 10.3115/1631850.1631852

O. Donovan, R. Burke, M. Cahill, A. Van-genabith, J. Way et al., Large-scale induction and evaluation of lexical resources from the penn-ii and penn-iii treebanks, Computational Linguistics, vol.31, pp.328-365, 2005.

Ó. Séaghdha and D. , Latent variable models of selectional preference, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), 2010.

J. Preiss, T. Briscoe, and A. Korhonen, A system for large-scale acquisition of verbal, nominal and adjectival subcategorization frames from corpora, Proceedings of ACL, 2007.

J. Reisinger and R. Mooney, Crosscutting models of lexical semantics, Proceedings of EMNLP-11, 2011.

P. Resnik, Selectional preference and sense disambiguation, Proc. of the ACL SIGLEX Workshop on Tagging Text with Lexical Semantics: Why, What, and How, 1997.

A. Ritter and O. Etzioni, A latent dirichlet allocation method for selectional preferences, 2010.

M. Rooth, S. Riezler, D. Prescher, G. Carroll, and F. Beil, Inducing a semantically annotated lexicon via EM-based clustering, Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics -, 1999.
DOI : 10.3115/1034678.1034703

C. Scheible, An evaluation of predicate argument clustering using pseudodisambiguation, Proceedings of LREC, 2010.

S. Schulte-im-walde, Experiments on the Automatic Induction of German Semantic Verb Classes, Computational Linguistics, vol.24, issue.2, pp.159-194, 2006.
DOI : 10.1093/ijl/17.2.161

S. Schulte-im-walde, C. Hying, C. Scheible, and H. Schmid, Combining EM training and the MDL principle for an automatic verb classification incorporating selectional preferences, Proceedings of the ACL, pp.496-504, 2008.

D. O. Seaghdha and A. Korhonen, Probabilistic models of similarity in syntactic context, Proceedings of EMNLP-11, 2011.

A. Shashua and T. Hazan, Non-negative tensor factorization with applications to statistics and computer vision, Proceedings of the 22nd international conference on Machine learning , ICML '05, pp.792-799, 2005.
DOI : 10.1145/1102351.1102451

L. Sun and A. Korhonen, Hierarchical verb clustering using graph factorization, Proceedings of EMNLP, pp.1023-1033, 2011.

S. Thater, H. Furstenau, and M. Pinkal, Contextualizing semantic representations using syntactically enriched vector models, Proceedings of ACL-10, 2010.

T. Van-de-cruys, A non-negative tensor factorization model for selectional preference induction, Proceedings of the workshop on Geometric Models for Natural Language Semantics (GEMS), pp.83-90, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00546045

A. Yeh, More accurate tests for the statistical significance of result differences, Proceedings of the 18th conference on Computational linguistics -, pp.947-953, 2000.
DOI : 10.3115/992730.992783

B. Zapirain, E. Agirre, and L. Marquex, Generalizing over lexical features, Proceedings of the ACL-IJCNLP 2009 Conference Short Papers on, ACL-IJCNLP '09, 2009.
DOI : 10.3115/1667583.1667607

G. Zhou, J. Zhao, K. Liu, and L. Cai, Exploiting web-derived selectional preference to improve statistical dependency parsing, Proceedings of ACL-11, 2011.