Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   propose a method to increase dependency parser performance without using additional labeled or unlabeled data by refining the layer of predicted part-of-speech (POS) tags.  perform experiments on English and German and show significant improvements for both languages. The refinement is based on generative split-merge training for Hidden Markov models (HMMs).
['Thomas Mueller', 'Richárd Farkas', 'Alex Judea', 'Helmut Schmid', 'Hinrich Schuetze']
I am writing a research paper on a idea Dependency parsing with latent refinements of part-of-speech tags
[{"from": "human", "value": "I am writing a research paper on a idea Dependency parsing with latent refinements of part-of-speech tags"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   propose a method to increase dependency parser performance without using additional labeled or unlabeled data by refining the layer of predicted part-of-speech (POS) tags.  perform experiments on English and German and show significant improvements for both languages. The refinement is based on generative split-merge training for Hidden Markov models (HMMs)."}]