To decide the values for these hyper-parameters, we randomly chose 200 utterance chunks from the training set of surrounding facilities to make a development set, and trained the model with the rest of the training set and evaluated it with the development set.
we replaced the occurrences of numbers and proper nouns with their abstraction symbol NUM and PROP.