Online large-margin training of dependency parsers
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Hebrew dependency parsing: initial results
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
An efficient algorithm for easy-first non-directional dependency parsing
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Statistical parsing of morphologically rich languages (SPMRL): what, how and whither
SPMRL '10 Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages
One-step statistical parsing of hybrid dependency-constituency syntactic representations
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
Getting more from morphology in multilingual dependency parsing
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Joint evaluation of morphological segmentation and syntactic parsing
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Morphological and syntactic case in statistical dependency parsing
Computational Linguistics
| Hi-index | 0.00 |
We investigate the performance of an easy-first, non-directional dependency parser on the Hebrew Dependency treebank. We show that with a basic feature set the greedy parser's accuracy is on a par with that of a first-order globally optimized MST parser. The addition of morphological-agreement feature improves the parsing accuracy, making it on-par with a second-order globally optimized MST parser. The improvement due to the morphological agreement information is persistent both when gold-standard and automatically-induced morphological information is used.