Abstract
In Japanese spoken language processing, the subject and other cases are often omitted. Several approaches to resolve such an ellipsis have been proposed so far, but none of them have considered robustness against noisy input. It is important to also have some robustness in an ellipsis resolution module, since the inputs of the process are the results of a speech recognition module, which may have some recognition errors in spoken dialogue processing. We thus propose a robust model of ellipsis resolution which utilizes a multiple decision tree (MDT) model. Experimental results have proven its robustness, and have also shown that the model is task-independent and works more effectively if we provide decision trees with the number of attributes corresponding to the amount of noise.
