Paper: Incremental Joint Approach to Word Segmentation, POS Tagging, and Dependency Parsing in Chinese

ACL ID P12-1110
Title Incremental Joint Approach to Word Segmentation, POS Tagging, and Dependency Parsing in Chinese
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

We propose the first joint model for word segmen- tation, POS tagging, and dependency parsing for Chinese. Based on an extension of the incremental joint model for POS tagging and dependency pars- ing (Hatori et al., 2011), we propose an efficient character-based decoding method that can combine features from state-of-the-art segmentation, POS tagging, and dependency parsing models. We also describe our method to align comparable states in the beam, and how we can combine features of dif- ferent characteristics in our incremental framework. In experiments using the Chinese Treebank (CTB), we show that the accuracies of the three tasks can be improved significantly over the baseline models, particularly by 0.6% for POS tagging and 2.4% for dependency parsing. We also perform comparison expe...