The corpus contains a total number of 2,166 dialogues, including 15,453 utterances (10,571 for selftraining and 4,882 for testing).
in our approach, we parse all ASR-decoded utterances in our corpus using SEMAFOR 5 , a stateof-the-art semantic parser for frame-semantic parsing (Das et al., 2010;Das et al., 2013), and extract all frames from semantic parsing results as slot candidates, where the LUs that correspond to the frames are extracted for slot filling.