(2010)'s sequence models-but greater improvements may be possible with the combined approach we introduce here, which allows the model to both tune the embeddings and exploit sequence information.
tagging with this model was considerably slower than the neural network (again, due to the cost of decoding), so we used the neural network architecture in the remaining experiments.