Paper: Language Independent Probabilistic Context-Free Parsing Bolstered By Machine Learning

ACL ID W06-2935
Title Language Independent Probabilistic Context-Free Parsing Bolstered By Machine Learning
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2006
Authors

Unlexicalized probabilistic context-free parsing is a general and flexible approach that sometimes reaches competitive re- sults in multilingual dependency parsing even if a minimum of language-specific information is supplied. Furthermore, in- tegrating parser results (good at long de- pendencies) and tagger results (good at short range dependencies, and more easily adaptable to treebank peculiarities) gives competitive results in all languages.