H. Jaeger, The " echo state " approach to analysing and training recurrent neural networkswith an erratum note, p.34, 2001.

X. Hinaut and S. Wermter, An Incremental Approach to Language Acquisition: Thematic Role Assignment with Echo State Networks, ICANN 2014, pp.33-40, 2014.
DOI : 10.1007/978-3-319-11179-7_5

H. Jaeger, M. Luko?evi?ius, D. Popovici, and U. Siewert, Optimization and applications of echo state networks with leaky- integrator neurons, Neural Networks, vol.20, issue.3, pp.335-352, 2007.
DOI : 10.1016/j.neunet.2007.04.016

K. Dukes, SemEval-2014 Task 6: Supervised Semantic Parsing of Robotic Spatial Commands, Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), p.45, 2014.
DOI : 10.3115/v1/S14-2006

K. Dukes, Train robots: A dataset for natural language human-robot spatial interaction through verbal commands, ICSR. Embodied Communication of Goals and Intentions Workshop, 2013.

W. Packard, UW-MRS: Leveraging a Deep Grammar for Robotic Spatial Commands, Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), p.812, 2014.
DOI : 10.3115/v1/S14-2144

K. Evang and J. Bos, RoBox: CCG with Structured Perceptron for Supervised Semantic Parsing of Robotic Spatial Commands, Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), p.482, 2014.
DOI : 10.3115/v1/S14-2084

S. Stoyanchev, H. Jung, J. Chen, and S. Bangalore, AT&T: The tag&parse approach to semantic parsing of robot spatial commands, p.109, 2014.

W. Mattelaer, M. Verbeke, and D. Nitti, KUL-Eval: A Combinatory Categorial Grammar Approach for Improving Semantic Parsing of Robot Commands using Spatial Context, Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), p.385, 2014.
DOI : 10.3115/v1/S14-2066

P. Ljunglöf, ShrdLite: Semantic Parsing Using a Handmade Grammar, Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), p.556, 2014.
DOI : 10.3115/v1/S14-2097

R. J. Kate, UWM: Applying an Existing Trainable Semantic Parser to Parse Robotic Spatial Commands, Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), p.823, 2014.
DOI : 10.3115/v1/S14-2146

X. Hinaut and P. F. Dominey, Real-Time Parallel Processing of Grammatical Structure in the Fronto-Striatal System: A Recurrent Network Simulation Study Using Reservoir Computing, PLoS ONE, vol.105, issue.2, p.52946, 2013.
DOI : 10.1371/journal.pone.0052946.s008

X. Hinaut, M. Petit, G. Pointeau, and P. F. Dominey, Exploring the acquisition and production of grammatical constructions through human-robot interaction with echo state networks, Frontiers in Neurorobotics, vol.20, 2014.
DOI : 10.1016/j.neunet.2007.04.003

K. Dukes, Contextual Semantic Parsing using Crowdsourced Spatial Descriptions, 2014.

E. F. Tjong, K. Sang, and S. Buchholz, Introduction to the conll-2000 shared task: Chunking, Proceedings of the 2nd workshop on Learning language in logic and the 4th CoNLL, pp.127-132, 2000.

M. Luko?evi?ius, A Practical Guide to Applying Echo State Networks, Neural Networks: Tricks of the Trade, pp.659-686, 2012.
DOI : 10.1162/neco.1989.1.2.270

X. Song, S. Ding, and C. Lin, Better binarization for the CKY parsing, Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '08, pp.167-176, 2008.
DOI : 10.3115/1613715.1613739

J. Twiefel, T. Baumann, S. Heinrich, and S. Wermter, Improving domain-independent cloud-based speech recognition with domain-dependent phonetic post-processing, Twenty-Eighth AAAI, pp.1529-1535, 2014.