For the generic vs. referential task, the discourse and multimodal classifiers both outperform the majority class baseline (p < .001), achieving accuracy scores of 68.71% and 68.48% respectively.
to when using manual transcriptions and annotations (see Section 6.1), removing forward-looking (FL) information reduces performance (p < .05).