ParSeq

Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Natural Language Processing2 results

Text ClassificationonGCDC + RST - Accuracy
Accuracy· 2018-05-14
55.09
best: 61 (MTL with Transformer)
SOTA
Discourse Coherence in the Wild: A Dataset, Evaluation and Methods arXiv:1805.04993
Text ClassificationonGCDC + RST - F1
Average F1· 2018-05-14
46.65
best: 46.98 (RST-Ensemble)
SOTA
Discourse Coherence in the Wild: A Dataset, Evaluation and Methods arXiv:1805.04993

Methodology2 results

ClassificationonGCDC + RST - Accuracy
Accuracy· 2018-05-14
55.09
best: 61 (MTL with Transformer)
SOTA
Discourse Coherence in the Wild: A Dataset, Evaluation and Methods arXiv:1805.04993
ClassificationonGCDC + RST - F1
Average F1· 2018-05-14
46.65
best: 46.98 (RST-Ensemble)
SOTA
Discourse Coherence in the Wild: A Dataset, Evaluation and Methods arXiv:1805.04993