Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Intricacies of Collins' Parsing Model
Computational Linguistics
Improved Arabic base phrase chunking with a new enriched POS tag set
Semitic '07 Proceedings of the 2007 Workshop on Computational Approaches to Semitic Languages: Common Issues and Resources
Better Arabic parsing: baselines, evaluations, and analysis
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Hi-index | 0.00 |
Earlier work in parsing Arabic has speculated that attachment to construct state constructions decreases parsing performance. We make this speculation precise and define the problem of attachment to construct state constructions in the Arabic Treebank. We present the first statistics that quantify the problem. We provide a baseline and the results from a first attempt at a discriminative learning procedure for this task, achieving 80% accuracy.