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 found that λ 1 = 0.021 and λ 2 = 0.003 made the best performance on the development set.