Paper: Joint Models for Chinese POS Tagging and Dependency Parsing

ACL ID D11-1109
Title Joint Models for Chinese POS Tagging and Dependency Parsing
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2011
Authors

Part-of-speech (POS) is an indispensable fea- ture in dependency parsing. Current research usually models POS tagging and dependency parsing independently. This may suffer from error propagation problem. Our experiments show that parsing accuracy drops by about 6% when using automatic POS tags instead of gold ones. To solve this issue, this pa- per proposes a solution by jointly optimiz- ing POS tagging and dependency parsing in a unique model. We design several joint models and their corresponding decoding algorithms to incorporate different feature sets. We fur- therpresentaneffectivepruningstrategytore- duce the search space of candidate POS tags, leading to significant improvement of parsing speed. Experimental results on Chinese Penn Treebank 5 show that our joint models sig- nificant...