Paper: Joint POS Tagging and Transition-based Constituent Parsing in Chinese with Non-local Features

ACL ID P14-1069
Title Joint POS Tagging and Transition-based Constituent Parsing in Chinese with Non-local Features
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

We propose three improvements to ad- dress the drawbacks of state-of-the-art transition-based constituent parsers. First, to resolve the error propagation problem of the traditional pipeline approach, we incorporate POS tagging into the syntac- tic parsing process. Second, to allevi- ate the negative influence of size differ- ences among competing action sequences, we align parser states during beam-search decoding. Third, to enhance the pow- er of parsing models, we enlarge the fea- ture set with non-local features and semi- supervised word cluster features. Exper- imental results show that these modifica- tions improve parsing performance signif- icantly. Evaluated on the Chinese Tree- Bank (CTB), our final performance reach- es 86.3% (F1) when trained on CTB 5.1, and 87.1% when trained ...