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Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding

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Figure

Table 1:An example of a semantic frame with itscoressponding domain, intent and slots.
Figure 1: Multi-task Learning with different supervisionlevel
Table 2: Statistics of the datasets. For each dataset, number of sentence in train/dev/test set, the number of unique token andlabel in the training set.
Table 4: F1 scores comparison between MTL, STL, and previous published results on each dataset
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