K-best, locally pruned, transition-based dependency parsing using robust risk minimization

Choi, Jinho D.; Nicolov, Nicolas

doi:10.1075/cilt.309.16cho

In:Recent Advances in Natural Language Processing V: Selected papers from RANLP 2007
Edited by Nicolas Nicolov, Galia Angelova and Ruslan Mitkov
[Current Issues in Linguistic Theory 309] 2009
► pp. 205–216

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K-best, locally pruned, transition-based dependency parsing using robust risk minimization

Jinho D. Choi

Nicolas Nicolov

Published online: 22 October 2009

https://doi.org/10.1075/cilt.309.16cho

Cited by (2)

Cited by two other publications

Lippincott, Thomas, Laura Rimell, Karin Verspoor & Anna Korhonen

2013. Approaches to verb subcategorization for biomedicine. Journal of Biomedical Informatics 46:2 ► pp. 212 ff.

Verspoor, Karin, Kevin Bretonnel Cohen, Arrick Lanfranchi, Colin Warner, Helen L Johnson, Christophe Roeder, Jinho D Choi, Christopher Funk, Yuriy Malenkiy, Miriam Eckert, Nianwen Xue, William A Baumgartner, Michael Bada, Martha Palmer & Lawrence E Hunter

2012. A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools. BMC Bioinformatics 13:1

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