E. Agirre, T. Baldwin, and D. Martinez, Improving parsing and pp attachment performance with sense information, ACL, pp.317-325, 2008.

E. Henestroza, A. , and M. Candito, Parse correction with specialized models for difficult attachment types, Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp.1222-1233, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00602083

G. Attardi and M. Ciaramita, Tree revision learning for dependency parsing, HLT-NAACL, pp.388-395, 2007.

Y. Belinkov, T. Lei, R. Barzilay, and A. Globerson, Exploring compositional architectures and word vector representations for prepositional phrase attachment, Transactions of the Association for Computational Linguistics, vol.2, pp.561-572, 2014.

G. Christie, A. Laddha, A. Agrawal, S. Antol, Y. Goyal et al., Resolving language and vision ambiguities together: Joint segmentation & prepositional attachment resolution in captioned scenes, 2016.
DOI : 10.1016/j.cviu.2017.09.001

P. Dasigi, W. Ammar, C. Dyer, and E. Hovy, Ontology-aware token embeddings for prepositional phrase attachment. arXiv preprint, 2017.
DOI : 10.18653/v1/p17-1191

URL : https://doi.org/10.18653/v1/p17-1191

K. Hall and V. Novák, Corrective modeling for non-projective dependency parsing, Proceedings of the Ninth International Workshop on Parsing Technology, Parsing '05, pp.42-52, 2005.
DOI : 10.3115/1654494.1654499

URL : http://www.clsp.jhu.edu/~khall/pubs/corrective_iwpt05.pdf

G. Herzog and P. Wazinski, VIsual TRAnslator: Linking perceptions and natural language descriptions, Artificial Intelligence Review, vol.8, issue.1, pp.175-187, 1994.
DOI : 10.1007/978-3-642-77388-4

P. Mitchell, M. A. Marcus, B. Marcinkiewicz, and . Santorini, Building a large annotated corpus of english: The penn treebank, Computational linguistics, vol.19, issue.2, pp.313-330, 1993.

S. Abolghasem, M. , and A. Nasr, Integrating selectional constraints and subcategorization frames in a dependency parser, 2016.

A. Nasr, F. Béchet, J. F. Rey, B. Favre, and J. L. Roux, Macaon: An nlp tool suite for processing word lattices, Proceedings of the ACL 2011 System Demonstration, pp.86-91, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00702442

J. Nivre, An efficient algorithm for projective dependency parsing, Proceedings of the 8th International Workshop on Parsing Technologies (IWPT. Citeseer, 2003.

A. Bryan, L. Plummer, C. M. Wang, J. C. Cervantes, J. Caicedo et al., Flickr30k entities: Collecting region-to-phrase correspondences for richer imageto-sentence models, International Journal of Computer Vision, vol.123, issue.1, pp.74-93, 2017.

G. Rakshit, S. Sontakke, P. Bhattacharyya, and G. Haffari, Prepositional attachment disambiguation using bilingual parsing and alignments. arXiv preprint, 2016.

O. Vinyals, A. Toshev, S. Bengio, and D. Erhan, Show and tell: A neural image caption generator, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.3156-3164, 2015.
DOI : 10.1109/CVPR.2015.7298935

URL : http://arxiv.org/pdf/1411.4555

P. Young, A. Lai, M. Hodosh, and J. Hockenmaier, From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions, Transactions of the Association for Computational Linguistics, vol.2, pp.67-78, 2014.