A Treebank-based Investigation of IPP-triggering Verbs in Dutch

Acknowledgments
The work reported in this paper is supported by the NSF grant (Award Number:
CNS 0751202; CFDA Number: 47.070). 6
References
[1] R. Begum, S. Husain, A. Dhwaj, D.M. Sharma, L. Bai, and R. Sangal. Dependency
annotation scheme for indian languages. In Proceedings of IJCNLP. Citeseer, 2008.
[2] A. Bharati, S. Husain, B. Ambati, S. Jain, D. Sharma, and R. Sangal. Two semantic
features make all the difference in parsing accuracy. Proc. of ICON, 8, 2008.
[3] R.A. Bhat and D.M. Sharma. A dependency treebank of urdu and its evaluation. In
Proceedings of 6th Linguistic Annotation Workshop (ACL HLT 2012). Jeju, Republic
of Korea. 2012.
[4] P. Kosaraju, S.R. Kesidi, V.B.R. Ainavolu, and P. Kukkadapu. Experiments on indian
language dependency parsing. Proceedings of the ICON10 NLP Tools Contest:
Indian Language Dependency Parsing, 2010.
[5] M. Kuhlmann and M. Mohl. Mildly context-sensitive dependency languages. In
ANNUAL MEETING-ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, volume
45, page 160, 2007.
[6] C.P. Masica. The Indo-Aryan Languages. Cambridge Univ Pr, May 1993.
[7] R. McDonald, K. Crammer, and F. Pereira. Online large-margin training of dependency
parsers. In Proceedings of the 43rd Annual Meeting on Association for
Computational Linguistics, pages 91–98. Association for Computational Linguistics,
2005.
[8] R. McDonald, F. Pereira, K. Ribarov, and J. Hajič. Non-projective dependency parsing
using spanning tree algorithms. In Proceedings of the conference on Human Language
Technology and Empirical Methods in Natural Language Processing, pages
523–530. Association for Computational Linguistics, 2005.
[9] J. Nilsson, S. Riedel, and D. Yuret. The conll 2007 shared task on dependency
parsing. In Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL,
pages 915–932, 2007.
[10] J. Nivre, J. Hall, J. Nilsson, A. Chanev, G. Eryigit, S. Kübler, S. Marinov, and
E. Marsi. Maltparser: A language-independent system for data-driven dependency
parsing. Natural Language Engineering, 13(02):95–135, 2007.
[11] J. Nivre, J. Hall, J. Nilsson, G. Eryiǧit, and S. Marinov. Labeled pseudo-projective
dependency parsing with support vector machines. In Proceedings of the Tenth Conference
on Computational Natural Language Learning, pages 221–225. Association
for Computational Linguistics, 2006.
6 Any opinions, findings, and conclusions or recommendations expressed in this material are those
of the author(s) and do not necessarily reflect the views of the National Science Foundation.
36