MT-Mic (Spangher et al., 2021)

Reported on 2 benchmarks across 2 tasks

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing1 result

Text ClassificationonNewsDiscourse
macro F1· uses extra data
61.89
best: 73.69 (Human (Post-Rec.) (Spangher et al., 2021))

Methodology1 result

ClassificationonNewsDiscourse
macro F1· uses extra data
61.89
best: 73.69 (Human (Post-Rec.) (Spangher et al., 2021))