Our approach does not use a separate disfluency detection module; we hypothesized that the location-sensitive attention model helps handle these differences based on analysis of the text-only results (Table 1).
more explicit modeling of disfluency pattern match characteristics in a dependency parser (Honnibal and Johnson, 2014) leads to better disfluency detection performance (F = 84.1 vs. 76.7 for our text only model).