Only 5.9% of the words in the Switchboard are disfluent, and BERT is only trained on fluent texts such as books and Wikipedia, so the baseline parser may be starved of disfluent training examples.
self-training on a corpus of conversational speech may compensate for the scarcity of disfluent gold data.