Sepúlveda-Torres R., Vicente M., Saquete E., Lloret E., Palomar M. (2021)
Reported on 5 benchmarks across 1 task
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing5 results
- Per-class Accuracy (Agree)75.03best: 88.47 (ZAINAB A. JAWAD, AHMED J. OBAID (CNN and DNN with SCM, 2022))
- Per-class Accuracy (Disagree)63.41best: 96 (ZAINAB A. JAWAD, AHMED J. OBAID (CNN and DNN with SCM, 2022))
- Per-class Accuracy (Discuss)85.97best: 87.7 (ZAINAB A. JAWAD, AHMED J. OBAID (CNN and DNN with SCM, 2022))
- Per-class Accuracy (Unrelated)99.36
- Weighted Accuracy90.73