Paper: Dependency parsing with latent refinements of part-of-speech tags

ACL ID D14-1103
Title Dependency parsing with latent refinements of part-of-speech tags
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

In this paper we propose a method to increase dependency parser performance without using additional labeled or unla- beled data by refining the layer of pre- dicted part-of-speech (POS) tags. We per- form experiments on English and Ger- man and show significant improvements for both languages. The refinement is based on generative split-merge training for Hidden Markov models (HMMs).