Paper: A Transition-Based System for Joint Part-of-Speech Tagging and Labeled Non-Projective Dependency Parsing

ACL ID D12-1133
Title A Transition-Based System for Joint Part-of-Speech Tagging and Labeled Non-Projective Dependency Parsing
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2012
Authors

Most current dependency parsers presuppose that input words have been morphologically disambiguated using a part-of-speech tagger before parsing begins. We present a transition- based system for joint part-of-speech tagging and labeled dependency parsing with non- projective trees. Experimental evaluation on Chinese, Czech, English and German shows consistent improvements in both tagging and parsing accuracy when compared to a pipeline system, which lead to improved state-of-the- art results for all languages.